Interface MachineLearningAsyncClient
- All Superinterfaces:
AutoCloseable
,AwsClient
,SdkAutoCloseable
,SdkClient
builder()
method.The asynchronous client performs non-blocking I/O when configured with any
invalid reference
SdkAsyncHttpClient
-
Field Summary
Modifier and TypeFieldDescriptionstatic final String
Value for looking up the service's metadata from theServiceMetadataProvider
.static final String
-
Method Summary
Modifier and TypeMethodDescriptiondefault CompletableFuture
<AddTagsResponse> addTags
(Consumer<AddTagsRequest.Builder> addTagsRequest) Adds one or more tags to an object, up to a limit of 10.default CompletableFuture
<AddTagsResponse> addTags
(AddTagsRequest addTagsRequest) Adds one or more tags to an object, up to a limit of 10.builder()
Create a builder that can be used to configure and create aMachineLearningAsyncClient
.static MachineLearningAsyncClient
create()
Create aMachineLearningAsyncClient
with the region loaded from theDefaultAwsRegionProviderChain
and credentials loaded from theDefaultCredentialsProvider
.createBatchPrediction
(Consumer<CreateBatchPredictionRequest.Builder> createBatchPredictionRequest) Generates predictions for a group of observations.createBatchPrediction
(CreateBatchPredictionRequest createBatchPredictionRequest) Generates predictions for a group of observations.createDataSourceFromRDS
(Consumer<CreateDataSourceFromRdsRequest.Builder> createDataSourceFromRdsRequest) Creates aDataSource
object from an Amazon Relational Database Service (Amazon RDS).createDataSourceFromRDS
(CreateDataSourceFromRdsRequest createDataSourceFromRdsRequest) Creates aDataSource
object from an Amazon Relational Database Service (Amazon RDS).createDataSourceFromRedshift
(Consumer<CreateDataSourceFromRedshiftRequest.Builder> createDataSourceFromRedshiftRequest) Creates aDataSource
from a database hosted on an Amazon Redshift cluster.createDataSourceFromRedshift
(CreateDataSourceFromRedshiftRequest createDataSourceFromRedshiftRequest) Creates aDataSource
from a database hosted on an Amazon Redshift cluster.createDataSourceFromS3
(Consumer<CreateDataSourceFromS3Request.Builder> createDataSourceFromS3Request) Creates aDataSource
object.createDataSourceFromS3
(CreateDataSourceFromS3Request createDataSourceFromS3Request) Creates aDataSource
object.createEvaluation
(Consumer<CreateEvaluationRequest.Builder> createEvaluationRequest) Creates a newEvaluation
of anMLModel
.createEvaluation
(CreateEvaluationRequest createEvaluationRequest) Creates a newEvaluation
of anMLModel
.default CompletableFuture
<CreateMlModelResponse> createMLModel
(Consumer<CreateMlModelRequest.Builder> createMlModelRequest) Creates a newMLModel
using theDataSource
and the recipe as information sources.default CompletableFuture
<CreateMlModelResponse> createMLModel
(CreateMlModelRequest createMlModelRequest) Creates a newMLModel
using theDataSource
and the recipe as information sources.createRealtimeEndpoint
(Consumer<CreateRealtimeEndpointRequest.Builder> createRealtimeEndpointRequest) Creates a real-time endpoint for theMLModel
.createRealtimeEndpoint
(CreateRealtimeEndpointRequest createRealtimeEndpointRequest) Creates a real-time endpoint for theMLModel
.deleteBatchPrediction
(Consumer<DeleteBatchPredictionRequest.Builder> deleteBatchPredictionRequest) Assigns the DELETED status to aBatchPrediction
, rendering it unusable.deleteBatchPrediction
(DeleteBatchPredictionRequest deleteBatchPredictionRequest) Assigns the DELETED status to aBatchPrediction
, rendering it unusable.deleteDataSource
(Consumer<DeleteDataSourceRequest.Builder> deleteDataSourceRequest) Assigns the DELETED status to aDataSource
, rendering it unusable.deleteDataSource
(DeleteDataSourceRequest deleteDataSourceRequest) Assigns the DELETED status to aDataSource
, rendering it unusable.deleteEvaluation
(Consumer<DeleteEvaluationRequest.Builder> deleteEvaluationRequest) Assigns theDELETED
status to anEvaluation
, rendering it unusable.deleteEvaluation
(DeleteEvaluationRequest deleteEvaluationRequest) Assigns theDELETED
status to anEvaluation
, rendering it unusable.default CompletableFuture
<DeleteMlModelResponse> deleteMLModel
(Consumer<DeleteMlModelRequest.Builder> deleteMlModelRequest) Assigns theDELETED
status to anMLModel
, rendering it unusable.default CompletableFuture
<DeleteMlModelResponse> deleteMLModel
(DeleteMlModelRequest deleteMlModelRequest) Assigns theDELETED
status to anMLModel
, rendering it unusable.deleteRealtimeEndpoint
(Consumer<DeleteRealtimeEndpointRequest.Builder> deleteRealtimeEndpointRequest) Deletes a real time endpoint of anMLModel
.deleteRealtimeEndpoint
(DeleteRealtimeEndpointRequest deleteRealtimeEndpointRequest) Deletes a real time endpoint of anMLModel
.default CompletableFuture
<DeleteTagsResponse> deleteTags
(Consumer<DeleteTagsRequest.Builder> deleteTagsRequest) Deletes the specified tags associated with an ML object.default CompletableFuture
<DeleteTagsResponse> deleteTags
(DeleteTagsRequest deleteTagsRequest) Deletes the specified tags associated with an ML object.Returns a list ofBatchPrediction
operations that match the search criteria in the request.describeBatchPredictions
(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest) Returns a list ofBatchPrediction
operations that match the search criteria in the request.describeBatchPredictions
(DescribeBatchPredictionsRequest describeBatchPredictionsRequest) Returns a list ofBatchPrediction
operations that match the search criteria in the request.This is a variant ofdescribeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest)
operation.describeBatchPredictionsPaginator
(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest) This is a variant ofdescribeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest)
operation.describeBatchPredictionsPaginator
(DescribeBatchPredictionsRequest describeBatchPredictionsRequest) This is a variant ofdescribeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest)
operation.Returns a list ofDataSource
that match the search criteria in the request.describeDataSources
(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest) Returns a list ofDataSource
that match the search criteria in the request.describeDataSources
(DescribeDataSourcesRequest describeDataSourcesRequest) Returns a list ofDataSource
that match the search criteria in the request.default DescribeDataSourcesPublisher
This is a variant ofdescribeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest)
operation.default DescribeDataSourcesPublisher
describeDataSourcesPaginator
(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest) This is a variant ofdescribeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest)
operation.default DescribeDataSourcesPublisher
describeDataSourcesPaginator
(DescribeDataSourcesRequest describeDataSourcesRequest) This is a variant ofdescribeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest)
operation.Returns a list ofDescribeEvaluations
that match the search criteria in the request.describeEvaluations
(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest) Returns a list ofDescribeEvaluations
that match the search criteria in the request.describeEvaluations
(DescribeEvaluationsRequest describeEvaluationsRequest) Returns a list ofDescribeEvaluations
that match the search criteria in the request.default DescribeEvaluationsPublisher
This is a variant ofdescribeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest)
operation.default DescribeEvaluationsPublisher
describeEvaluationsPaginator
(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest) This is a variant ofdescribeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest)
operation.default DescribeEvaluationsPublisher
describeEvaluationsPaginator
(DescribeEvaluationsRequest describeEvaluationsRequest) This is a variant ofdescribeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest)
operation.Returns a list ofMLModel
that match the search criteria in the request.describeMLModels
(Consumer<DescribeMlModelsRequest.Builder> describeMlModelsRequest) Returns a list ofMLModel
that match the search criteria in the request.describeMLModels
(DescribeMlModelsRequest describeMlModelsRequest) Returns a list ofMLModel
that match the search criteria in the request.default DescribeMLModelsPublisher
This is a variant ofdescribeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest)
operation.default DescribeMLModelsPublisher
describeMLModelsPaginator
(Consumer<DescribeMlModelsRequest.Builder> describeMlModelsRequest) This is a variant ofdescribeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest)
operation.default DescribeMLModelsPublisher
describeMLModelsPaginator
(DescribeMlModelsRequest describeMlModelsRequest) This is a variant ofdescribeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest)
operation.default CompletableFuture
<DescribeTagsResponse> describeTags
(Consumer<DescribeTagsRequest.Builder> describeTagsRequest) Describes one or more of the tags for your Amazon ML object.default CompletableFuture
<DescribeTagsResponse> describeTags
(DescribeTagsRequest describeTagsRequest) Describes one or more of the tags for your Amazon ML object.getBatchPrediction
(Consumer<GetBatchPredictionRequest.Builder> getBatchPredictionRequest) Returns aBatchPrediction
that includes detailed metadata, status, and data file information for aBatch Prediction
request.getBatchPrediction
(GetBatchPredictionRequest getBatchPredictionRequest) Returns aBatchPrediction
that includes detailed metadata, status, and data file information for aBatch Prediction
request.default CompletableFuture
<GetDataSourceResponse> getDataSource
(Consumer<GetDataSourceRequest.Builder> getDataSourceRequest) Returns aDataSource
that includes metadata and data file information, as well as the current status of theDataSource
.default CompletableFuture
<GetDataSourceResponse> getDataSource
(GetDataSourceRequest getDataSourceRequest) Returns aDataSource
that includes metadata and data file information, as well as the current status of theDataSource
.default CompletableFuture
<GetEvaluationResponse> getEvaluation
(Consumer<GetEvaluationRequest.Builder> getEvaluationRequest) Returns anEvaluation
that includes metadata as well as the current status of theEvaluation
.default CompletableFuture
<GetEvaluationResponse> getEvaluation
(GetEvaluationRequest getEvaluationRequest) Returns anEvaluation
that includes metadata as well as the current status of theEvaluation
.default CompletableFuture
<GetMlModelResponse> getMLModel
(Consumer<GetMlModelRequest.Builder> getMlModelRequest) Returns anMLModel
that includes detailed metadata, data source information, and the current status of theMLModel
.default CompletableFuture
<GetMlModelResponse> getMLModel
(GetMlModelRequest getMlModelRequest) Returns anMLModel
that includes detailed metadata, data source information, and the current status of theMLModel
.default CompletableFuture
<PredictResponse> predict
(Consumer<PredictRequest.Builder> predictRequest) Generates a prediction for the observation using the specifiedML Model
.default CompletableFuture
<PredictResponse> predict
(PredictRequest predictRequest) Generates a prediction for the observation using the specifiedML Model
.The SDK service client configuration exposes client settings to the user, e.g., ClientOverrideConfigurationupdateBatchPrediction
(Consumer<UpdateBatchPredictionRequest.Builder> updateBatchPredictionRequest) Updates theBatchPredictionName
of aBatchPrediction
.updateBatchPrediction
(UpdateBatchPredictionRequest updateBatchPredictionRequest) Updates theBatchPredictionName
of aBatchPrediction
.updateDataSource
(Consumer<UpdateDataSourceRequest.Builder> updateDataSourceRequest) Updates theDataSourceName
of aDataSource
.updateDataSource
(UpdateDataSourceRequest updateDataSourceRequest) Updates theDataSourceName
of aDataSource
.updateEvaluation
(Consumer<UpdateEvaluationRequest.Builder> updateEvaluationRequest) Updates theEvaluationName
of anEvaluation
.updateEvaluation
(UpdateEvaluationRequest updateEvaluationRequest) Updates theEvaluationName
of anEvaluation
.default CompletableFuture
<UpdateMlModelResponse> updateMLModel
(Consumer<UpdateMlModelRequest.Builder> updateMlModelRequest) Updates theMLModelName
and theScoreThreshold
of anMLModel
.default CompletableFuture
<UpdateMlModelResponse> updateMLModel
(UpdateMlModelRequest updateMlModelRequest) Updates theMLModelName
and theScoreThreshold
of anMLModel
.default MachineLearningAsyncWaiter
waiter()
Create an instance ofMachineLearningAsyncWaiter
using this client.Methods inherited from interface software.amazon.awssdk.utils.SdkAutoCloseable
close
Methods inherited from interface software.amazon.awssdk.core.SdkClient
serviceName
-
Field Details
-
SERVICE_NAME
- See Also:
-
SERVICE_METADATA_ID
Value for looking up the service's metadata from theServiceMetadataProvider
.- See Also:
-
-
Method Details
-
addTags
Adds one or more tags to an object, up to a limit of 10. Each tag consists of a key and an optional value. If you add a tag using a key that is already associated with the ML object,
AddTags
updates the tag's value.- Parameters:
addTagsRequest
-- Returns:
- A Java Future containing the result of the AddTags operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InvalidTagException
- TagLimitExceededException
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
addTags
Adds one or more tags to an object, up to a limit of 10. Each tag consists of a key and an optional value. If you add a tag using a key that is already associated with the ML object,
AddTags
updates the tag's value.
This is a convenience which creates an instance of the
AddTagsRequest.Builder
avoiding the need to create one manually viaAddTagsRequest.builder()
- Parameters:
addTagsRequest
- AConsumer
that will call methods onAddTagsRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the AddTags operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InvalidTagException
- TagLimitExceededException
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
createBatchPrediction
default CompletableFuture<CreateBatchPredictionResponse> createBatchPrediction(CreateBatchPredictionRequest createBatchPredictionRequest) Generates predictions for a group of observations. The observations to process exist in one or more data files referenced by a
DataSource
. This operation creates a newBatchPrediction
, and uses anMLModel
and the data files referenced by theDataSource
as information sources.CreateBatchPrediction
is an asynchronous operation. In response toCreateBatchPrediction
, Amazon Machine Learning (Amazon ML) immediately returns and sets theBatchPrediction
status toPENDING
. After theBatchPrediction
completes, Amazon ML sets the status toCOMPLETED
.You can poll for status updates by using the GetBatchPrediction operation and checking the
Status
parameter of the result. After theCOMPLETED
status appears, the results are available in the location specified by theOutputUri
parameter.- Parameters:
createBatchPredictionRequest
-- Returns:
- A Java Future containing the result of the CreateBatchPrediction operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
createBatchPrediction
default CompletableFuture<CreateBatchPredictionResponse> createBatchPrediction(Consumer<CreateBatchPredictionRequest.Builder> createBatchPredictionRequest) Generates predictions for a group of observations. The observations to process exist in one or more data files referenced by a
DataSource
. This operation creates a newBatchPrediction
, and uses anMLModel
and the data files referenced by theDataSource
as information sources.CreateBatchPrediction
is an asynchronous operation. In response toCreateBatchPrediction
, Amazon Machine Learning (Amazon ML) immediately returns and sets theBatchPrediction
status toPENDING
. After theBatchPrediction
completes, Amazon ML sets the status toCOMPLETED
.You can poll for status updates by using the GetBatchPrediction operation and checking the
Status
parameter of the result. After theCOMPLETED
status appears, the results are available in the location specified by theOutputUri
parameter.
This is a convenience which creates an instance of the
CreateBatchPredictionRequest.Builder
avoiding the need to create one manually viaCreateBatchPredictionRequest.builder()
- Parameters:
createBatchPredictionRequest
- AConsumer
that will call methods onCreateBatchPredictionRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the CreateBatchPrediction operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
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createDataSourceFromRDS
default CompletableFuture<CreateDataSourceFromRdsResponse> createDataSourceFromRDS(CreateDataSourceFromRdsRequest createDataSourceFromRdsRequest) Creates a
DataSource
object from an Amazon Relational Database Service (Amazon RDS). ADataSource
references data that can be used to performCreateMLModel
,CreateEvaluation
, orCreateBatchPrediction
operations.CreateDataSourceFromRDS
is an asynchronous operation. In response toCreateDataSourceFromRDS
, Amazon Machine Learning (Amazon ML) immediately returns and sets theDataSource
status toPENDING
. After theDataSource
is created and ready for use, Amazon ML sets theStatus
parameter toCOMPLETED
.DataSource
in theCOMPLETED
orPENDING
state can be used only to perform>CreateMLModel
>,CreateEvaluation
, orCreateBatchPrediction
operations.If Amazon ML cannot accept the input source, it sets the
Status
parameter toFAILED
and includes an error message in theMessage
attribute of theGetDataSource
operation response.- Parameters:
createDataSourceFromRdsRequest
-- Returns:
- A Java Future containing the result of the CreateDataSourceFromRDS operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
createDataSourceFromRDS
default CompletableFuture<CreateDataSourceFromRdsResponse> createDataSourceFromRDS(Consumer<CreateDataSourceFromRdsRequest.Builder> createDataSourceFromRdsRequest) Creates a
DataSource
object from an Amazon Relational Database Service (Amazon RDS). ADataSource
references data that can be used to performCreateMLModel
,CreateEvaluation
, orCreateBatchPrediction
operations.CreateDataSourceFromRDS
is an asynchronous operation. In response toCreateDataSourceFromRDS
, Amazon Machine Learning (Amazon ML) immediately returns and sets theDataSource
status toPENDING
. After theDataSource
is created and ready for use, Amazon ML sets theStatus
parameter toCOMPLETED
.DataSource
in theCOMPLETED
orPENDING
state can be used only to perform>CreateMLModel
>,CreateEvaluation
, orCreateBatchPrediction
operations.If Amazon ML cannot accept the input source, it sets the
Status
parameter toFAILED
and includes an error message in theMessage
attribute of theGetDataSource
operation response.
This is a convenience which creates an instance of the
CreateDataSourceFromRdsRequest.Builder
avoiding the need to create one manually viaCreateDataSourceFromRdsRequest.builder()
- Parameters:
createDataSourceFromRdsRequest
- AConsumer
that will call methods onCreateDataSourceFromRdsRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the CreateDataSourceFromRDS operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
createDataSourceFromRedshift
default CompletableFuture<CreateDataSourceFromRedshiftResponse> createDataSourceFromRedshift(CreateDataSourceFromRedshiftRequest createDataSourceFromRedshiftRequest) Creates a
DataSource
from a database hosted on an Amazon Redshift cluster. ADataSource
references data that can be used to perform eitherCreateMLModel
,CreateEvaluation
, orCreateBatchPrediction
operations.CreateDataSourceFromRedshift
is an asynchronous operation. In response toCreateDataSourceFromRedshift
, Amazon Machine Learning (Amazon ML) immediately returns and sets theDataSource
status toPENDING
. After theDataSource
is created and ready for use, Amazon ML sets theStatus
parameter toCOMPLETED
.DataSource
inCOMPLETED
orPENDING
states can be used to perform onlyCreateMLModel
,CreateEvaluation
, orCreateBatchPrediction
operations.If Amazon ML can't accept the input source, it sets the
Status
parameter toFAILED
and includes an error message in theMessage
attribute of theGetDataSource
operation response.The observations should be contained in the database hosted on an Amazon Redshift cluster and should be specified by a
SelectSqlQuery
query. Amazon ML executes anUnload
command in Amazon Redshift to transfer the result set of theSelectSqlQuery
query toS3StagingLocation
.After the
DataSource
has been created, it's ready for use in evaluations and batch predictions. If you plan to use theDataSource
to train anMLModel
, theDataSource
also requires a recipe. A recipe describes how each input variable will be used in training anMLModel
. Will the variable be included or excluded from training? Will the variable be manipulated; for example, will it be combined with another variable or will it be split apart into word combinations? The recipe provides answers to these questions.You can't change an existing datasource, but you can copy and modify the settings from an existing Amazon Redshift datasource to create a new datasource. To do so, call
GetDataSource
for an existing datasource and copy the values to aCreateDataSource
call. Change the settings that you want to change and make sure that all required fields have the appropriate values.- Parameters:
createDataSourceFromRedshiftRequest
-- Returns:
- A Java Future containing the result of the CreateDataSourceFromRedshift operation returned by the
service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
createDataSourceFromRedshift
default CompletableFuture<CreateDataSourceFromRedshiftResponse> createDataSourceFromRedshift(Consumer<CreateDataSourceFromRedshiftRequest.Builder> createDataSourceFromRedshiftRequest) Creates a
DataSource
from a database hosted on an Amazon Redshift cluster. ADataSource
references data that can be used to perform eitherCreateMLModel
,CreateEvaluation
, orCreateBatchPrediction
operations.CreateDataSourceFromRedshift
is an asynchronous operation. In response toCreateDataSourceFromRedshift
, Amazon Machine Learning (Amazon ML) immediately returns and sets theDataSource
status toPENDING
. After theDataSource
is created and ready for use, Amazon ML sets theStatus
parameter toCOMPLETED
.DataSource
inCOMPLETED
orPENDING
states can be used to perform onlyCreateMLModel
,CreateEvaluation
, orCreateBatchPrediction
operations.If Amazon ML can't accept the input source, it sets the
Status
parameter toFAILED
and includes an error message in theMessage
attribute of theGetDataSource
operation response.The observations should be contained in the database hosted on an Amazon Redshift cluster and should be specified by a
SelectSqlQuery
query. Amazon ML executes anUnload
command in Amazon Redshift to transfer the result set of theSelectSqlQuery
query toS3StagingLocation
.After the
DataSource
has been created, it's ready for use in evaluations and batch predictions. If you plan to use theDataSource
to train anMLModel
, theDataSource
also requires a recipe. A recipe describes how each input variable will be used in training anMLModel
. Will the variable be included or excluded from training? Will the variable be manipulated; for example, will it be combined with another variable or will it be split apart into word combinations? The recipe provides answers to these questions.You can't change an existing datasource, but you can copy and modify the settings from an existing Amazon Redshift datasource to create a new datasource. To do so, call
GetDataSource
for an existing datasource and copy the values to aCreateDataSource
call. Change the settings that you want to change and make sure that all required fields have the appropriate values.
This is a convenience which creates an instance of the
CreateDataSourceFromRedshiftRequest.Builder
avoiding the need to create one manually viaCreateDataSourceFromRedshiftRequest.builder()
- Parameters:
createDataSourceFromRedshiftRequest
- AConsumer
that will call methods onCreateDataSourceFromRedshiftRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the CreateDataSourceFromRedshift operation returned by the
service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
createDataSourceFromS3
default CompletableFuture<CreateDataSourceFromS3Response> createDataSourceFromS3(CreateDataSourceFromS3Request createDataSourceFromS3Request) Creates a
DataSource
object. ADataSource
references data that can be used to performCreateMLModel
,CreateEvaluation
, orCreateBatchPrediction
operations.CreateDataSourceFromS3
is an asynchronous operation. In response toCreateDataSourceFromS3
, Amazon Machine Learning (Amazon ML) immediately returns and sets theDataSource
status toPENDING
. After theDataSource
has been created and is ready for use, Amazon ML sets theStatus
parameter toCOMPLETED
.DataSource
in theCOMPLETED
orPENDING
state can be used to perform onlyCreateMLModel
,CreateEvaluation
orCreateBatchPrediction
operations.If Amazon ML can't accept the input source, it sets the
Status
parameter toFAILED
and includes an error message in theMessage
attribute of theGetDataSource
operation response.The observation data used in a
DataSource
should be ready to use; that is, it should have a consistent structure, and missing data values should be kept to a minimum. The observation data must reside in one or more .csv files in an Amazon Simple Storage Service (Amazon S3) location, along with a schema that describes the data items by name and type. The same schema must be used for all of the data files referenced by theDataSource
.After the
DataSource
has been created, it's ready to use in evaluations and batch predictions. If you plan to use theDataSource
to train anMLModel
, theDataSource
also needs a recipe. A recipe describes how each input variable will be used in training anMLModel
. Will the variable be included or excluded from training? Will the variable be manipulated; for example, will it be combined with another variable or will it be split apart into word combinations? The recipe provides answers to these questions.- Parameters:
createDataSourceFromS3Request
-- Returns:
- A Java Future containing the result of the CreateDataSourceFromS3 operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
createDataSourceFromS3
default CompletableFuture<CreateDataSourceFromS3Response> createDataSourceFromS3(Consumer<CreateDataSourceFromS3Request.Builder> createDataSourceFromS3Request) Creates a
DataSource
object. ADataSource
references data that can be used to performCreateMLModel
,CreateEvaluation
, orCreateBatchPrediction
operations.CreateDataSourceFromS3
is an asynchronous operation. In response toCreateDataSourceFromS3
, Amazon Machine Learning (Amazon ML) immediately returns and sets theDataSource
status toPENDING
. After theDataSource
has been created and is ready for use, Amazon ML sets theStatus
parameter toCOMPLETED
.DataSource
in theCOMPLETED
orPENDING
state can be used to perform onlyCreateMLModel
,CreateEvaluation
orCreateBatchPrediction
operations.If Amazon ML can't accept the input source, it sets the
Status
parameter toFAILED
and includes an error message in theMessage
attribute of theGetDataSource
operation response.The observation data used in a
DataSource
should be ready to use; that is, it should have a consistent structure, and missing data values should be kept to a minimum. The observation data must reside in one or more .csv files in an Amazon Simple Storage Service (Amazon S3) location, along with a schema that describes the data items by name and type. The same schema must be used for all of the data files referenced by theDataSource
.After the
DataSource
has been created, it's ready to use in evaluations and batch predictions. If you plan to use theDataSource
to train anMLModel
, theDataSource
also needs a recipe. A recipe describes how each input variable will be used in training anMLModel
. Will the variable be included or excluded from training? Will the variable be manipulated; for example, will it be combined with another variable or will it be split apart into word combinations? The recipe provides answers to these questions.
This is a convenience which creates an instance of the
CreateDataSourceFromS3Request.Builder
avoiding the need to create one manually viaCreateDataSourceFromS3Request.builder()
- Parameters:
createDataSourceFromS3Request
- AConsumer
that will call methods onCreateDataSourceFromS3Request.Builder
to create a request.- Returns:
- A Java Future containing the result of the CreateDataSourceFromS3 operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
createEvaluation
default CompletableFuture<CreateEvaluationResponse> createEvaluation(CreateEvaluationRequest createEvaluationRequest) Creates a new
Evaluation
of anMLModel
. AnMLModel
is evaluated on a set of observations associated to aDataSource
. Like aDataSource
for anMLModel
, theDataSource
for anEvaluation
contains values for theTarget Variable
. TheEvaluation
compares the predicted result for each observation to the actual outcome and provides a summary so that you know how effective theMLModel
functions on the test data. Evaluation generates a relevant performance metric, such as BinaryAUC, RegressionRMSE or MulticlassAvgFScore based on the correspondingMLModelType
:BINARY
,REGRESSION
orMULTICLASS
.CreateEvaluation
is an asynchronous operation. In response toCreateEvaluation
, Amazon Machine Learning (Amazon ML) immediately returns and sets the evaluation status toPENDING
. After theEvaluation
is created and ready for use, Amazon ML sets the status toCOMPLETED
.You can use the
GetEvaluation
operation to check progress of the evaluation during the creation operation.- Parameters:
createEvaluationRequest
-- Returns:
- A Java Future containing the result of the CreateEvaluation operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
createEvaluation
default CompletableFuture<CreateEvaluationResponse> createEvaluation(Consumer<CreateEvaluationRequest.Builder> createEvaluationRequest) Creates a new
Evaluation
of anMLModel
. AnMLModel
is evaluated on a set of observations associated to aDataSource
. Like aDataSource
for anMLModel
, theDataSource
for anEvaluation
contains values for theTarget Variable
. TheEvaluation
compares the predicted result for each observation to the actual outcome and provides a summary so that you know how effective theMLModel
functions on the test data. Evaluation generates a relevant performance metric, such as BinaryAUC, RegressionRMSE or MulticlassAvgFScore based on the correspondingMLModelType
:BINARY
,REGRESSION
orMULTICLASS
.CreateEvaluation
is an asynchronous operation. In response toCreateEvaluation
, Amazon Machine Learning (Amazon ML) immediately returns and sets the evaluation status toPENDING
. After theEvaluation
is created and ready for use, Amazon ML sets the status toCOMPLETED
.You can use the
GetEvaluation
operation to check progress of the evaluation during the creation operation.
This is a convenience which creates an instance of the
CreateEvaluationRequest.Builder
avoiding the need to create one manually viaCreateEvaluationRequest.builder()
- Parameters:
createEvaluationRequest
- AConsumer
that will call methods onCreateEvaluationRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the CreateEvaluation operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
createMLModel
default CompletableFuture<CreateMlModelResponse> createMLModel(CreateMlModelRequest createMlModelRequest) Creates a new
MLModel
using theDataSource
and the recipe as information sources.An
MLModel
is nearly immutable. Users can update only theMLModelName
and theScoreThreshold
in anMLModel
without creating a newMLModel
.CreateMLModel
is an asynchronous operation. In response toCreateMLModel
, Amazon Machine Learning (Amazon ML) immediately returns and sets theMLModel
status toPENDING
. After theMLModel
has been created and ready is for use, Amazon ML sets the status toCOMPLETED
.You can use the
GetMLModel
operation to check the progress of theMLModel
during the creation operation.CreateMLModel
requires aDataSource
with computed statistics, which can be created by settingComputeStatistics
totrue
inCreateDataSourceFromRDS
,CreateDataSourceFromS3
, orCreateDataSourceFromRedshift
operations.- Parameters:
createMlModelRequest
-- Returns:
- A Java Future containing the result of the CreateMLModel operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
createMLModel
default CompletableFuture<CreateMlModelResponse> createMLModel(Consumer<CreateMlModelRequest.Builder> createMlModelRequest) Creates a new
MLModel
using theDataSource
and the recipe as information sources.An
MLModel
is nearly immutable. Users can update only theMLModelName
and theScoreThreshold
in anMLModel
without creating a newMLModel
.CreateMLModel
is an asynchronous operation. In response toCreateMLModel
, Amazon Machine Learning (Amazon ML) immediately returns and sets theMLModel
status toPENDING
. After theMLModel
has been created and ready is for use, Amazon ML sets the status toCOMPLETED
.You can use the
GetMLModel
operation to check the progress of theMLModel
during the creation operation.CreateMLModel
requires aDataSource
with computed statistics, which can be created by settingComputeStatistics
totrue
inCreateDataSourceFromRDS
,CreateDataSourceFromS3
, orCreateDataSourceFromRedshift
operations.
This is a convenience which creates an instance of the
CreateMlModelRequest.Builder
avoiding the need to create one manually viaCreateMlModelRequest.builder()
- Parameters:
createMlModelRequest
- AConsumer
that will call methods onCreateMlModelRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the CreateMLModel operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
createRealtimeEndpoint
default CompletableFuture<CreateRealtimeEndpointResponse> createRealtimeEndpoint(CreateRealtimeEndpointRequest createRealtimeEndpointRequest) Creates a real-time endpoint for the
MLModel
. The endpoint contains the URI of theMLModel
; that is, the location to send real-time prediction requests for the specifiedMLModel
.- Parameters:
createRealtimeEndpointRequest
-- Returns:
- A Java Future containing the result of the CreateRealtimeEndpoint operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
createRealtimeEndpoint
default CompletableFuture<CreateRealtimeEndpointResponse> createRealtimeEndpoint(Consumer<CreateRealtimeEndpointRequest.Builder> createRealtimeEndpointRequest) Creates a real-time endpoint for the
MLModel
. The endpoint contains the URI of theMLModel
; that is, the location to send real-time prediction requests for the specifiedMLModel
.
This is a convenience which creates an instance of the
CreateRealtimeEndpointRequest.Builder
avoiding the need to create one manually viaCreateRealtimeEndpointRequest.builder()
- Parameters:
createRealtimeEndpointRequest
- AConsumer
that will call methods onCreateRealtimeEndpointRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the CreateRealtimeEndpoint operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
deleteBatchPrediction
default CompletableFuture<DeleteBatchPredictionResponse> deleteBatchPrediction(DeleteBatchPredictionRequest deleteBatchPredictionRequest) Assigns the DELETED status to a
BatchPrediction
, rendering it unusable.After using the
DeleteBatchPrediction
operation, you can use the GetBatchPrediction operation to verify that the status of theBatchPrediction
changed to DELETED.Caution: The result of the
DeleteBatchPrediction
operation is irreversible.- Parameters:
deleteBatchPredictionRequest
-- Returns:
- A Java Future containing the result of the DeleteBatchPrediction operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
deleteBatchPrediction
default CompletableFuture<DeleteBatchPredictionResponse> deleteBatchPrediction(Consumer<DeleteBatchPredictionRequest.Builder> deleteBatchPredictionRequest) Assigns the DELETED status to a
BatchPrediction
, rendering it unusable.After using the
DeleteBatchPrediction
operation, you can use the GetBatchPrediction operation to verify that the status of theBatchPrediction
changed to DELETED.Caution: The result of the
DeleteBatchPrediction
operation is irreversible.
This is a convenience which creates an instance of the
DeleteBatchPredictionRequest.Builder
avoiding the need to create one manually viaDeleteBatchPredictionRequest.builder()
- Parameters:
deleteBatchPredictionRequest
- AConsumer
that will call methods onDeleteBatchPredictionRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the DeleteBatchPrediction operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
deleteDataSource
default CompletableFuture<DeleteDataSourceResponse> deleteDataSource(DeleteDataSourceRequest deleteDataSourceRequest) Assigns the DELETED status to a
DataSource
, rendering it unusable.After using the
DeleteDataSource
operation, you can use the GetDataSource operation to verify that the status of theDataSource
changed to DELETED.Caution: The results of the
DeleteDataSource
operation are irreversible.- Parameters:
deleteDataSourceRequest
-- Returns:
- A Java Future containing the result of the DeleteDataSource operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
deleteDataSource
default CompletableFuture<DeleteDataSourceResponse> deleteDataSource(Consumer<DeleteDataSourceRequest.Builder> deleteDataSourceRequest) Assigns the DELETED status to a
DataSource
, rendering it unusable.After using the
DeleteDataSource
operation, you can use the GetDataSource operation to verify that the status of theDataSource
changed to DELETED.Caution: The results of the
DeleteDataSource
operation are irreversible.
This is a convenience which creates an instance of the
DeleteDataSourceRequest.Builder
avoiding the need to create one manually viaDeleteDataSourceRequest.builder()
- Parameters:
deleteDataSourceRequest
- AConsumer
that will call methods onDeleteDataSourceRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the DeleteDataSource operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
deleteEvaluation
default CompletableFuture<DeleteEvaluationResponse> deleteEvaluation(DeleteEvaluationRequest deleteEvaluationRequest) Assigns the
DELETED
status to anEvaluation
, rendering it unusable.After invoking the
DeleteEvaluation
operation, you can use theGetEvaluation
operation to verify that the status of theEvaluation
changed toDELETED
.Caution: The results of the
DeleteEvaluation
operation are irreversible.- Parameters:
deleteEvaluationRequest
-- Returns:
- A Java Future containing the result of the DeleteEvaluation operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
deleteEvaluation
default CompletableFuture<DeleteEvaluationResponse> deleteEvaluation(Consumer<DeleteEvaluationRequest.Builder> deleteEvaluationRequest) Assigns the
DELETED
status to anEvaluation
, rendering it unusable.After invoking the
DeleteEvaluation
operation, you can use theGetEvaluation
operation to verify that the status of theEvaluation
changed toDELETED
.Caution: The results of the
DeleteEvaluation
operation are irreversible.
This is a convenience which creates an instance of the
DeleteEvaluationRequest.Builder
avoiding the need to create one manually viaDeleteEvaluationRequest.builder()
- Parameters:
deleteEvaluationRequest
- AConsumer
that will call methods onDeleteEvaluationRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the DeleteEvaluation operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
deleteMLModel
default CompletableFuture<DeleteMlModelResponse> deleteMLModel(DeleteMlModelRequest deleteMlModelRequest) Assigns the
DELETED
status to anMLModel
, rendering it unusable.After using the
DeleteMLModel
operation, you can use theGetMLModel
operation to verify that the status of theMLModel
changed to DELETED.Caution: The result of the
DeleteMLModel
operation is irreversible.- Parameters:
deleteMlModelRequest
-- Returns:
- A Java Future containing the result of the DeleteMLModel operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
deleteMLModel
default CompletableFuture<DeleteMlModelResponse> deleteMLModel(Consumer<DeleteMlModelRequest.Builder> deleteMlModelRequest) Assigns the
DELETED
status to anMLModel
, rendering it unusable.After using the
DeleteMLModel
operation, you can use theGetMLModel
operation to verify that the status of theMLModel
changed to DELETED.Caution: The result of the
DeleteMLModel
operation is irreversible.
This is a convenience which creates an instance of the
DeleteMlModelRequest.Builder
avoiding the need to create one manually viaDeleteMlModelRequest.builder()
- Parameters:
deleteMlModelRequest
- AConsumer
that will call methods onDeleteMlModelRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the DeleteMLModel operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
deleteRealtimeEndpoint
default CompletableFuture<DeleteRealtimeEndpointResponse> deleteRealtimeEndpoint(DeleteRealtimeEndpointRequest deleteRealtimeEndpointRequest) Deletes a real time endpoint of an
MLModel
.- Parameters:
deleteRealtimeEndpointRequest
-- Returns:
- A Java Future containing the result of the DeleteRealtimeEndpoint operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
deleteRealtimeEndpoint
default CompletableFuture<DeleteRealtimeEndpointResponse> deleteRealtimeEndpoint(Consumer<DeleteRealtimeEndpointRequest.Builder> deleteRealtimeEndpointRequest) Deletes a real time endpoint of an
MLModel
.
This is a convenience which creates an instance of the
DeleteRealtimeEndpointRequest.Builder
avoiding the need to create one manually viaDeleteRealtimeEndpointRequest.builder()
- Parameters:
deleteRealtimeEndpointRequest
- AConsumer
that will call methods onDeleteRealtimeEndpointRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the DeleteRealtimeEndpoint operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
deleteTags
Deletes the specified tags associated with an ML object. After this operation is complete, you can't recover deleted tags.
If you specify a tag that doesn't exist, Amazon ML ignores it.
- Parameters:
deleteTagsRequest
-- Returns:
- A Java Future containing the result of the DeleteTags operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InvalidTagException
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
deleteTags
default CompletableFuture<DeleteTagsResponse> deleteTags(Consumer<DeleteTagsRequest.Builder> deleteTagsRequest) Deletes the specified tags associated with an ML object. After this operation is complete, you can't recover deleted tags.
If you specify a tag that doesn't exist, Amazon ML ignores it.
This is a convenience which creates an instance of the
DeleteTagsRequest.Builder
avoiding the need to create one manually viaDeleteTagsRequest.builder()
- Parameters:
deleteTagsRequest
- AConsumer
that will call methods onDeleteTagsRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the DeleteTags operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InvalidTagException
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeBatchPredictions
default CompletableFuture<DescribeBatchPredictionsResponse> describeBatchPredictions(DescribeBatchPredictionsRequest describeBatchPredictionsRequest) Returns a list of
BatchPrediction
operations that match the search criteria in the request.- Parameters:
describeBatchPredictionsRequest
-- Returns:
- A Java Future containing the result of the DescribeBatchPredictions operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeBatchPredictions
default CompletableFuture<DescribeBatchPredictionsResponse> describeBatchPredictions(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest) Returns a list of
BatchPrediction
operations that match the search criteria in the request.
This is a convenience which creates an instance of the
DescribeBatchPredictionsRequest.Builder
avoiding the need to create one manually viaDescribeBatchPredictionsRequest.builder()
- Parameters:
describeBatchPredictionsRequest
- AConsumer
that will call methods onDescribeBatchPredictionsRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the DescribeBatchPredictions operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeBatchPredictions
Returns a list of
BatchPrediction
operations that match the search criteria in the request.- Returns:
- A Java Future containing the result of the DescribeBatchPredictions operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeBatchPredictionsPaginator
This is a variant of
describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will internally handle making service calls for you.When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and so there is no guarantee that the request is valid. If there are errors in your request, you will see the failures only after you start streaming the data. The subscribe method should be called as a request to start streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe method will result in a newSubscription
i.e., a new contract to stream data from the starting request.The following are few ways to use the response class:
1) Using the subscribe helper methodsoftware.amazon.awssdk.services.machinelearning.paginators.DescribeBatchPredictionsPublisher publisher = client.describeBatchPredictionsPaginator(request); CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response }); future.get();
software.amazon.awssdk.services.machinelearning.paginators.DescribeBatchPredictionsPublisher publisher = client.describeBatchPredictionsPaginator(request); publisher.subscribe(new Subscriber<software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsResponse>() { public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... }; public void onNext(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsResponse response) { //... }; });
Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest)
operation.- Returns:
- A custom publisher that can be subscribed to request a stream of response pages.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeBatchPredictionsPaginator
default DescribeBatchPredictionsPublisher describeBatchPredictionsPaginator(DescribeBatchPredictionsRequest describeBatchPredictionsRequest) This is a variant of
describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will internally handle making service calls for you.When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and so there is no guarantee that the request is valid. If there are errors in your request, you will see the failures only after you start streaming the data. The subscribe method should be called as a request to start streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe method will result in a newSubscription
i.e., a new contract to stream data from the starting request.The following are few ways to use the response class:
1) Using the subscribe helper methodsoftware.amazon.awssdk.services.machinelearning.paginators.DescribeBatchPredictionsPublisher publisher = client.describeBatchPredictionsPaginator(request); CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response }); future.get();
software.amazon.awssdk.services.machinelearning.paginators.DescribeBatchPredictionsPublisher publisher = client.describeBatchPredictionsPaginator(request); publisher.subscribe(new Subscriber<software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsResponse>() { public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... }; public void onNext(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsResponse response) { //... }; });
Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest)
operation.- Parameters:
describeBatchPredictionsRequest
-- Returns:
- A custom publisher that can be subscribed to request a stream of response pages.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeBatchPredictionsPaginator
default DescribeBatchPredictionsPublisher describeBatchPredictionsPaginator(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest) This is a variant of
describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will internally handle making service calls for you.When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and so there is no guarantee that the request is valid. If there are errors in your request, you will see the failures only after you start streaming the data. The subscribe method should be called as a request to start streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe method will result in a newSubscription
i.e., a new contract to stream data from the starting request.The following are few ways to use the response class:
1) Using the subscribe helper methodsoftware.amazon.awssdk.services.machinelearning.paginators.DescribeBatchPredictionsPublisher publisher = client.describeBatchPredictionsPaginator(request); CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response }); future.get();
software.amazon.awssdk.services.machinelearning.paginators.DescribeBatchPredictionsPublisher publisher = client.describeBatchPredictionsPaginator(request); publisher.subscribe(new Subscriber<software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsResponse>() { public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... }; public void onNext(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsResponse response) { //... }; });
Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest)
operation.
This is a convenience which creates an instance of the
DescribeBatchPredictionsRequest.Builder
avoiding the need to create one manually viaDescribeBatchPredictionsRequest.builder()
- Parameters:
describeBatchPredictionsRequest
- AConsumer
that will call methods onDescribeBatchPredictionsRequest.Builder
to create a request.- Returns:
- A custom publisher that can be subscribed to request a stream of response pages.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeDataSources
default CompletableFuture<DescribeDataSourcesResponse> describeDataSources(DescribeDataSourcesRequest describeDataSourcesRequest) Returns a list of
DataSource
that match the search criteria in the request.- Parameters:
describeDataSourcesRequest
-- Returns:
- A Java Future containing the result of the DescribeDataSources operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeDataSources
default CompletableFuture<DescribeDataSourcesResponse> describeDataSources(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest) Returns a list of
DataSource
that match the search criteria in the request.
This is a convenience which creates an instance of the
DescribeDataSourcesRequest.Builder
avoiding the need to create one manually viaDescribeDataSourcesRequest.builder()
- Parameters:
describeDataSourcesRequest
- AConsumer
that will call methods onDescribeDataSourcesRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the DescribeDataSources operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeDataSources
Returns a list of
DataSource
that match the search criteria in the request.- Returns:
- A Java Future containing the result of the DescribeDataSources operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeDataSourcesPaginator
This is a variant of
describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will internally handle making service calls for you.When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and so there is no guarantee that the request is valid. If there are errors in your request, you will see the failures only after you start streaming the data. The subscribe method should be called as a request to start streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe method will result in a newSubscription
i.e., a new contract to stream data from the starting request.The following are few ways to use the response class:
1) Using the subscribe helper methodsoftware.amazon.awssdk.services.machinelearning.paginators.DescribeDataSourcesPublisher publisher = client.describeDataSourcesPaginator(request); CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response }); future.get();
software.amazon.awssdk.services.machinelearning.paginators.DescribeDataSourcesPublisher publisher = client.describeDataSourcesPaginator(request); publisher.subscribe(new Subscriber<software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesResponse>() { public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... }; public void onNext(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesResponse response) { //... }; });
Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest)
operation.- Returns:
- A custom publisher that can be subscribed to request a stream of response pages.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeDataSourcesPaginator
default DescribeDataSourcesPublisher describeDataSourcesPaginator(DescribeDataSourcesRequest describeDataSourcesRequest) This is a variant of
describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will internally handle making service calls for you.When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and so there is no guarantee that the request is valid. If there are errors in your request, you will see the failures only after you start streaming the data. The subscribe method should be called as a request to start streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe method will result in a newSubscription
i.e., a new contract to stream data from the starting request.The following are few ways to use the response class:
1) Using the subscribe helper methodsoftware.amazon.awssdk.services.machinelearning.paginators.DescribeDataSourcesPublisher publisher = client.describeDataSourcesPaginator(request); CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response }); future.get();
software.amazon.awssdk.services.machinelearning.paginators.DescribeDataSourcesPublisher publisher = client.describeDataSourcesPaginator(request); publisher.subscribe(new Subscriber<software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesResponse>() { public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... }; public void onNext(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesResponse response) { //... }; });
Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest)
operation.- Parameters:
describeDataSourcesRequest
-- Returns:
- A custom publisher that can be subscribed to request a stream of response pages.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeDataSourcesPaginator
default DescribeDataSourcesPublisher describeDataSourcesPaginator(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest) This is a variant of
describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will internally handle making service calls for you.When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and so there is no guarantee that the request is valid. If there are errors in your request, you will see the failures only after you start streaming the data. The subscribe method should be called as a request to start streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe method will result in a newSubscription
i.e., a new contract to stream data from the starting request.The following are few ways to use the response class:
1) Using the subscribe helper methodsoftware.amazon.awssdk.services.machinelearning.paginators.DescribeDataSourcesPublisher publisher = client.describeDataSourcesPaginator(request); CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response }); future.get();
software.amazon.awssdk.services.machinelearning.paginators.DescribeDataSourcesPublisher publisher = client.describeDataSourcesPaginator(request); publisher.subscribe(new Subscriber<software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesResponse>() { public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... }; public void onNext(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesResponse response) { //... }; });
Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest)
operation.
This is a convenience which creates an instance of the
DescribeDataSourcesRequest.Builder
avoiding the need to create one manually viaDescribeDataSourcesRequest.builder()
- Parameters:
describeDataSourcesRequest
- AConsumer
that will call methods onDescribeDataSourcesRequest.Builder
to create a request.- Returns:
- A custom publisher that can be subscribed to request a stream of response pages.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeEvaluations
default CompletableFuture<DescribeEvaluationsResponse> describeEvaluations(DescribeEvaluationsRequest describeEvaluationsRequest) Returns a list of
DescribeEvaluations
that match the search criteria in the request.- Parameters:
describeEvaluationsRequest
-- Returns:
- A Java Future containing the result of the DescribeEvaluations operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeEvaluations
default CompletableFuture<DescribeEvaluationsResponse> describeEvaluations(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest) Returns a list of
DescribeEvaluations
that match the search criteria in the request.
This is a convenience which creates an instance of the
DescribeEvaluationsRequest.Builder
avoiding the need to create one manually viaDescribeEvaluationsRequest.builder()
- Parameters:
describeEvaluationsRequest
- AConsumer
that will call methods onDescribeEvaluationsRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the DescribeEvaluations operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeEvaluations
Returns a list of
DescribeEvaluations
that match the search criteria in the request.- Returns:
- A Java Future containing the result of the DescribeEvaluations operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeEvaluationsPaginator
This is a variant of
describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will internally handle making service calls for you.When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and so there is no guarantee that the request is valid. If there are errors in your request, you will see the failures only after you start streaming the data. The subscribe method should be called as a request to start streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe method will result in a newSubscription
i.e., a new contract to stream data from the starting request.The following are few ways to use the response class:
1) Using the subscribe helper methodsoftware.amazon.awssdk.services.machinelearning.paginators.DescribeEvaluationsPublisher publisher = client.describeEvaluationsPaginator(request); CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response }); future.get();
software.amazon.awssdk.services.machinelearning.paginators.DescribeEvaluationsPublisher publisher = client.describeEvaluationsPaginator(request); publisher.subscribe(new Subscriber<software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsResponse>() { public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... }; public void onNext(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsResponse response) { //... }; });
Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest)
operation.- Returns:
- A custom publisher that can be subscribed to request a stream of response pages.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeEvaluationsPaginator
default DescribeEvaluationsPublisher describeEvaluationsPaginator(DescribeEvaluationsRequest describeEvaluationsRequest) This is a variant of
describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will internally handle making service calls for you.When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and so there is no guarantee that the request is valid. If there are errors in your request, you will see the failures only after you start streaming the data. The subscribe method should be called as a request to start streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe method will result in a newSubscription
i.e., a new contract to stream data from the starting request.The following are few ways to use the response class:
1) Using the subscribe helper methodsoftware.amazon.awssdk.services.machinelearning.paginators.DescribeEvaluationsPublisher publisher = client.describeEvaluationsPaginator(request); CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response }); future.get();
software.amazon.awssdk.services.machinelearning.paginators.DescribeEvaluationsPublisher publisher = client.describeEvaluationsPaginator(request); publisher.subscribe(new Subscriber<software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsResponse>() { public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... }; public void onNext(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsResponse response) { //... }; });
Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest)
operation.- Parameters:
describeEvaluationsRequest
-- Returns:
- A custom publisher that can be subscribed to request a stream of response pages.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeEvaluationsPaginator
default DescribeEvaluationsPublisher describeEvaluationsPaginator(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest) This is a variant of
describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will internally handle making service calls for you.When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and so there is no guarantee that the request is valid. If there are errors in your request, you will see the failures only after you start streaming the data. The subscribe method should be called as a request to start streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe method will result in a newSubscription
i.e., a new contract to stream data from the starting request.The following are few ways to use the response class:
1) Using the subscribe helper methodsoftware.amazon.awssdk.services.machinelearning.paginators.DescribeEvaluationsPublisher publisher = client.describeEvaluationsPaginator(request); CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response }); future.get();
software.amazon.awssdk.services.machinelearning.paginators.DescribeEvaluationsPublisher publisher = client.describeEvaluationsPaginator(request); publisher.subscribe(new Subscriber<software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsResponse>() { public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... }; public void onNext(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsResponse response) { //... }; });
Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest)
operation.
This is a convenience which creates an instance of the
DescribeEvaluationsRequest.Builder
avoiding the need to create one manually viaDescribeEvaluationsRequest.builder()
- Parameters:
describeEvaluationsRequest
- AConsumer
that will call methods onDescribeEvaluationsRequest.Builder
to create a request.- Returns:
- A custom publisher that can be subscribed to request a stream of response pages.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeMLModels
default CompletableFuture<DescribeMlModelsResponse> describeMLModels(DescribeMlModelsRequest describeMlModelsRequest) Returns a list of
MLModel
that match the search criteria in the request.- Parameters:
describeMlModelsRequest
-- Returns:
- A Java Future containing the result of the DescribeMLModels operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeMLModels
default CompletableFuture<DescribeMlModelsResponse> describeMLModels(Consumer<DescribeMlModelsRequest.Builder> describeMlModelsRequest) Returns a list of
MLModel
that match the search criteria in the request.
This is a convenience which creates an instance of the
DescribeMlModelsRequest.Builder
avoiding the need to create one manually viaDescribeMlModelsRequest.builder()
- Parameters:
describeMlModelsRequest
- AConsumer
that will call methods onDescribeMlModelsRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the DescribeMLModels operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeMLModels
Returns a list of
MLModel
that match the search criteria in the request.- Returns:
- A Java Future containing the result of the DescribeMLModels operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeMLModelsPaginator
This is a variant of
describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will internally handle making service calls for you.When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and so there is no guarantee that the request is valid. If there are errors in your request, you will see the failures only after you start streaming the data. The subscribe method should be called as a request to start streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe method will result in a newSubscription
i.e., a new contract to stream data from the starting request.The following are few ways to use the response class:
1) Using the subscribe helper methodsoftware.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsPublisher publisher = client.describeMLModelsPaginator(request); CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response }); future.get();
software.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsPublisher publisher = client.describeMLModelsPaginator(request); publisher.subscribe(new Subscriber<software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsResponse>() { public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... }; public void onNext(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsResponse response) { //... }; });
Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest)
operation.- Returns:
- A custom publisher that can be subscribed to request a stream of response pages.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeMLModelsPaginator
default DescribeMLModelsPublisher describeMLModelsPaginator(DescribeMlModelsRequest describeMlModelsRequest) This is a variant of
describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will internally handle making service calls for you.When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and so there is no guarantee that the request is valid. If there are errors in your request, you will see the failures only after you start streaming the data. The subscribe method should be called as a request to start streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe method will result in a newSubscription
i.e., a new contract to stream data from the starting request.The following are few ways to use the response class:
1) Using the subscribe helper methodsoftware.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsPublisher publisher = client.describeMLModelsPaginator(request); CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response }); future.get();
software.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsPublisher publisher = client.describeMLModelsPaginator(request); publisher.subscribe(new Subscriber<software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsResponse>() { public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... }; public void onNext(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsResponse response) { //... }; });
Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest)
operation.- Parameters:
describeMlModelsRequest
-- Returns:
- A custom publisher that can be subscribed to request a stream of response pages.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeMLModelsPaginator
default DescribeMLModelsPublisher describeMLModelsPaginator(Consumer<DescribeMlModelsRequest.Builder> describeMlModelsRequest) This is a variant of
describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will internally handle making service calls for you.When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and so there is no guarantee that the request is valid. If there are errors in your request, you will see the failures only after you start streaming the data. The subscribe method should be called as a request to start streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe method will result in a newSubscription
i.e., a new contract to stream data from the starting request.The following are few ways to use the response class:
1) Using the subscribe helper methodsoftware.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsPublisher publisher = client.describeMLModelsPaginator(request); CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response }); future.get();
software.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsPublisher publisher = client.describeMLModelsPaginator(request); publisher.subscribe(new Subscriber<software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsResponse>() { public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... }; public void onNext(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsResponse response) { //... }; });
Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
Note: If you prefer to have control on service calls, use the
describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest)
operation.
This is a convenience which creates an instance of the
DescribeMlModelsRequest.Builder
avoiding the need to create one manually viaDescribeMlModelsRequest.builder()
- Parameters:
describeMlModelsRequest
- AConsumer
that will call methods onDescribeMlModelsRequest.Builder
to create a request.- Returns:
- A custom publisher that can be subscribed to request a stream of response pages.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeTags
default CompletableFuture<DescribeTagsResponse> describeTags(DescribeTagsRequest describeTagsRequest) Describes one or more of the tags for your Amazon ML object.
- Parameters:
describeTagsRequest
-- Returns:
- A Java Future containing the result of the DescribeTags operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
describeTags
default CompletableFuture<DescribeTagsResponse> describeTags(Consumer<DescribeTagsRequest.Builder> describeTagsRequest) Describes one or more of the tags for your Amazon ML object.
This is a convenience which creates an instance of the
DescribeTagsRequest.Builder
avoiding the need to create one manually viaDescribeTagsRequest.builder()
- Parameters:
describeTagsRequest
- AConsumer
that will call methods onDescribeTagsRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the DescribeTags operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
getBatchPrediction
default CompletableFuture<GetBatchPredictionResponse> getBatchPrediction(GetBatchPredictionRequest getBatchPredictionRequest) Returns a
BatchPrediction
that includes detailed metadata, status, and data file information for aBatch Prediction
request.- Parameters:
getBatchPredictionRequest
-- Returns:
- A Java Future containing the result of the GetBatchPrediction operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
getBatchPrediction
default CompletableFuture<GetBatchPredictionResponse> getBatchPrediction(Consumer<GetBatchPredictionRequest.Builder> getBatchPredictionRequest) Returns a
BatchPrediction
that includes detailed metadata, status, and data file information for aBatch Prediction
request.
This is a convenience which creates an instance of the
GetBatchPredictionRequest.Builder
avoiding the need to create one manually viaGetBatchPredictionRequest.builder()
- Parameters:
getBatchPredictionRequest
- AConsumer
that will call methods onGetBatchPredictionRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the GetBatchPrediction operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
getDataSource
default CompletableFuture<GetDataSourceResponse> getDataSource(GetDataSourceRequest getDataSourceRequest) Returns a
DataSource
that includes metadata and data file information, as well as the current status of theDataSource
.GetDataSource
provides results in normal or verbose format. The verbose format adds the schema description and the list of files pointed to by the DataSource to the normal format.- Parameters:
getDataSourceRequest
-- Returns:
- A Java Future containing the result of the GetDataSource operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
getDataSource
default CompletableFuture<GetDataSourceResponse> getDataSource(Consumer<GetDataSourceRequest.Builder> getDataSourceRequest) Returns a
DataSource
that includes metadata and data file information, as well as the current status of theDataSource
.GetDataSource
provides results in normal or verbose format. The verbose format adds the schema description and the list of files pointed to by the DataSource to the normal format.
This is a convenience which creates an instance of the
GetDataSourceRequest.Builder
avoiding the need to create one manually viaGetDataSourceRequest.builder()
- Parameters:
getDataSourceRequest
- AConsumer
that will call methods onGetDataSourceRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the GetDataSource operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
getEvaluation
default CompletableFuture<GetEvaluationResponse> getEvaluation(GetEvaluationRequest getEvaluationRequest) Returns an
Evaluation
that includes metadata as well as the current status of theEvaluation
.- Parameters:
getEvaluationRequest
-- Returns:
- A Java Future containing the result of the GetEvaluation operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
getEvaluation
default CompletableFuture<GetEvaluationResponse> getEvaluation(Consumer<GetEvaluationRequest.Builder> getEvaluationRequest) Returns an
Evaluation
that includes metadata as well as the current status of theEvaluation
.
This is a convenience which creates an instance of the
GetEvaluationRequest.Builder
avoiding the need to create one manually viaGetEvaluationRequest.builder()
- Parameters:
getEvaluationRequest
- AConsumer
that will call methods onGetEvaluationRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the GetEvaluation operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
getMLModel
Returns an
MLModel
that includes detailed metadata, data source information, and the current status of theMLModel
.GetMLModel
provides results in normal or verbose format.- Parameters:
getMlModelRequest
-- Returns:
- A Java Future containing the result of the GetMLModel operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
getMLModel
default CompletableFuture<GetMlModelResponse> getMLModel(Consumer<GetMlModelRequest.Builder> getMlModelRequest) Returns an
MLModel
that includes detailed metadata, data source information, and the current status of theMLModel
.GetMLModel
provides results in normal or verbose format.
This is a convenience which creates an instance of the
GetMlModelRequest.Builder
avoiding the need to create one manually viaGetMlModelRequest.builder()
- Parameters:
getMlModelRequest
- AConsumer
that will call methods onGetMlModelRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the GetMLModel operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
predict
Generates a prediction for the observation using the specified
ML Model
.Note: Not all response parameters will be populated. Whether a response parameter is populated depends on the type of model requested.
- Parameters:
predictRequest
-- Returns:
- A Java Future containing the result of the Predict operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- LimitExceededException The subscriber exceeded the maximum number of operations. This exception can
occur when listing objects such as
DataSource
. - InternalServerException An error on the server occurred when trying to process a request.
- PredictorNotMountedException The exception is thrown when a predict request is made to an unmounted
MLModel
. - SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
predict
Generates a prediction for the observation using the specified
ML Model
.Note: Not all response parameters will be populated. Whether a response parameter is populated depends on the type of model requested.
This is a convenience which creates an instance of the
PredictRequest.Builder
avoiding the need to create one manually viaPredictRequest.builder()
- Parameters:
predictRequest
- AConsumer
that will call methods onPredictRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the Predict operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- LimitExceededException The subscriber exceeded the maximum number of operations. This exception can
occur when listing objects such as
DataSource
. - InternalServerException An error on the server occurred when trying to process a request.
- PredictorNotMountedException The exception is thrown when a predict request is made to an unmounted
MLModel
. - SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
updateBatchPrediction
default CompletableFuture<UpdateBatchPredictionResponse> updateBatchPrediction(UpdateBatchPredictionRequest updateBatchPredictionRequest) Updates the
BatchPredictionName
of aBatchPrediction
.You can use the
GetBatchPrediction
operation to view the contents of the updated data element.- Parameters:
updateBatchPredictionRequest
-- Returns:
- A Java Future containing the result of the UpdateBatchPrediction operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
updateBatchPrediction
default CompletableFuture<UpdateBatchPredictionResponse> updateBatchPrediction(Consumer<UpdateBatchPredictionRequest.Builder> updateBatchPredictionRequest) Updates the
BatchPredictionName
of aBatchPrediction
.You can use the
GetBatchPrediction
operation to view the contents of the updated data element.
This is a convenience which creates an instance of the
UpdateBatchPredictionRequest.Builder
avoiding the need to create one manually viaUpdateBatchPredictionRequest.builder()
- Parameters:
updateBatchPredictionRequest
- AConsumer
that will call methods onUpdateBatchPredictionRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the UpdateBatchPrediction operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
updateDataSource
default CompletableFuture<UpdateDataSourceResponse> updateDataSource(UpdateDataSourceRequest updateDataSourceRequest) Updates the
DataSourceName
of aDataSource
.You can use the
GetDataSource
operation to view the contents of the updated data element.- Parameters:
updateDataSourceRequest
-- Returns:
- A Java Future containing the result of the UpdateDataSource operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
updateDataSource
default CompletableFuture<UpdateDataSourceResponse> updateDataSource(Consumer<UpdateDataSourceRequest.Builder> updateDataSourceRequest) Updates the
DataSourceName
of aDataSource
.You can use the
GetDataSource
operation to view the contents of the updated data element.
This is a convenience which creates an instance of the
UpdateDataSourceRequest.Builder
avoiding the need to create one manually viaUpdateDataSourceRequest.builder()
- Parameters:
updateDataSourceRequest
- AConsumer
that will call methods onUpdateDataSourceRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the UpdateDataSource operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
updateEvaluation
default CompletableFuture<UpdateEvaluationResponse> updateEvaluation(UpdateEvaluationRequest updateEvaluationRequest) Updates the
EvaluationName
of anEvaluation
.You can use the
GetEvaluation
operation to view the contents of the updated data element.- Parameters:
updateEvaluationRequest
-- Returns:
- A Java Future containing the result of the UpdateEvaluation operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
updateEvaluation
default CompletableFuture<UpdateEvaluationResponse> updateEvaluation(Consumer<UpdateEvaluationRequest.Builder> updateEvaluationRequest) Updates the
EvaluationName
of anEvaluation
.You can use the
GetEvaluation
operation to view the contents of the updated data element.
This is a convenience which creates an instance of the
UpdateEvaluationRequest.Builder
avoiding the need to create one manually viaUpdateEvaluationRequest.builder()
- Parameters:
updateEvaluationRequest
- AConsumer
that will call methods onUpdateEvaluationRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the UpdateEvaluation operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
updateMLModel
default CompletableFuture<UpdateMlModelResponse> updateMLModel(UpdateMlModelRequest updateMlModelRequest) Updates the
MLModelName
and theScoreThreshold
of anMLModel
.You can use the
GetMLModel
operation to view the contents of the updated data element.- Parameters:
updateMlModelRequest
-- Returns:
- A Java Future containing the result of the UpdateMLModel operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
updateMLModel
default CompletableFuture<UpdateMlModelResponse> updateMLModel(Consumer<UpdateMlModelRequest.Builder> updateMlModelRequest) Updates the
MLModelName
and theScoreThreshold
of anMLModel
.You can use the
GetMLModel
operation to view the contents of the updated data element.
This is a convenience which creates an instance of the
UpdateMlModelRequest.Builder
avoiding the need to create one manually viaUpdateMlModelRequest.builder()
- Parameters:
updateMlModelRequest
- AConsumer
that will call methods onUpdateMlModelRequest.Builder
to create a request.- Returns:
- A Java Future containing the result of the UpdateMLModel operation returned by the service.
The CompletableFuture returned by this method can be completed exceptionally with the following exceptions. The exception returned is wrapped with CompletionException, so you need to invokeThrowable.getCause()
to retrieve the underlying exception.- InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
- ResourceNotFoundException A specified resource cannot be located.
- InternalServerException An error on the server occurred when trying to process a request.
- SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
- SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
- MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
-
waiter
Create an instance ofMachineLearningAsyncWaiter
using this client.Waiters created via this method are managed by the SDK and resources will be released when the service client is closed.
- Returns:
- an instance of
MachineLearningAsyncWaiter
-
serviceClientConfiguration
Description copied from interface:SdkClient
The SDK service client configuration exposes client settings to the user, e.g., ClientOverrideConfiguration- Specified by:
serviceClientConfiguration
in interfaceAwsClient
- Specified by:
serviceClientConfiguration
in interfaceSdkClient
- Returns:
- SdkServiceClientConfiguration
-
create
Create aMachineLearningAsyncClient
with the region loaded from theDefaultAwsRegionProviderChain
and credentials loaded from theDefaultCredentialsProvider
. -
builder
Create a builder that can be used to configure and create aMachineLearningAsyncClient
.
-