software.amazon.awssdk.services.sagemaker.model

Class CreateAutoMlJobRequest

java.lang.Object

software.amazon.awssdk.core.SdkRequest

software.amazon.awssdk.awscore.AwsRequest

software.amazon.awssdk.services.sagemaker.model.SageMakerRequest

software.amazon.awssdk.services.sagemaker.model.CreateAutoMlJobRequest

All Implemented Interfaces:

SdkPojo, ToCopyableBuilder<CreateAutoMlJobRequest.Builder,CreateAutoMlJobRequest>

@Generated(value="software.amazon.awssdk:codegen")
public final class CreateAutoMlJobRequest
extends SageMakerRequest
implements ToCopyableBuilder<CreateAutoMlJobRequest.Builder,CreateAutoMlJobRequest>

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static interface	CreateAutoMlJobRequest.Builder

Method Summary

Modifier and Type	Method and Description
AutoMLJobConfig	autoMLJobConfig() Contains CompletionCriteria and SecurityConfig settings for the AutoML job.
String	autoMLJobName() Identifies an Autopilot job.
AutoMLJobObjective	autoMLJobObjective() Defines the objective metric used to measure the predictive quality of an AutoML job.
static CreateAutoMlJobRequest.Builder	builder()
boolean	equals(Object obj)
boolean	equalsBySdkFields(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.
Boolean	generateCandidateDefinitionsOnly() Generates possible candidates without training the models.
<T> Optional<T>	getValueForField(String fieldName, Class<T> clazz) Used to retrieve the value of a field from any class that extends SdkRequest.
int	hashCode()
boolean	hasInputDataConfig() Returns true if the InputDataConfig property was specified by the sender (it may be empty), or false if the sender did not specify the value (it will be empty).
boolean	hasTags() Returns true if the Tags property was specified by the sender (it may be empty), or false if the sender did not specify the value (it will be empty).
List<AutoMLChannel>	inputDataConfig() An array of channel objects that describes the input data and its location.
ModelDeployConfig	modelDeployConfig() Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
AutoMLOutputDataConfig	outputDataConfig() Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job.
ProblemType	problemType() Defines the type of supervised learning available for the candidates.
String	problemTypeAsString() Defines the type of supervised learning available for the candidates.
String	roleArn() The ARN of the role that is used to access the data.
List<SdkField<?>>	sdkFields()
static Class<? extends CreateAutoMlJobRequest.Builder>	serializableBuilderClass()
List<Tag>	tags() Each tag consists of a key and an optional value.
CreateAutoMlJobRequest.Builder	toBuilder() Take this object and create a builder that contains all of the current property values of this object.
String	toString() Returns a string representation of this object.

Methods inherited from class software.amazon.awssdk.awscore.AwsRequest

overrideConfiguration

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder

copy

Method Detail

autoMLJobName

public final String autoMLJobName()

Identifies an Autopilot job. The name must be unique to your account and is case-insensitive.

Returns:

Identifies an Autopilot job. The name must be unique to your account and is case-insensitive.

hasInputDataConfig

public final boolean hasInputDataConfig()

Returns true if the InputDataConfig property was specified by the sender (it may be empty), or false if the sender did not specify the value (it will be empty). For responses returned by the SDK, the sender is the AWS service.

inputDataConfig

public final List<AutoMLChannel> inputDataConfig()

An array of channel objects that describes the input data and its location. Each channel is a named input source. Similar to InputDataConfig supported by . Format(s) supported: CSV. Minimum of 500 rows.

Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.

You can use hasInputDataConfig() to see if a value was sent in this field.

Returns:

An array of channel objects that describes the input data and its location. Each channel is a named input source. Similar to InputDataConfig supported by . Format(s) supported: CSV. Minimum of 500 rows.

outputDataConfig

public final AutoMLOutputDataConfig outputDataConfig()

Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job. Format(s) supported: CSV.

<para>Specifies whether to automatically deploy the best &ATP; model to an endpoint and the name of that endpoint if deployed automatically.</para>

Returns:

Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job. Format(s) supported: CSV.

<para>Specifies whether to automatically deploy the best &ATP; model to an endpoint and the name of that endpoint if deployed automatically.</para>

problemType

public final ProblemType problemType()

Defines the type of supervised learning available for the candidates. Options include: BinaryClassification, MulticlassClassification, and Regression. For more information, see Amazon SageMaker Autopilot problem types and algorithm support.

If the service returns an enum value that is not available in the current SDK version, problemType will return ProblemType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from problemTypeAsString().

Returns:

Defines the type of supervised learning available for the candidates. Options include: BinaryClassification, MulticlassClassification, and Regression. For more information, see Amazon SageMaker Autopilot problem types and algorithm support.

See Also:

ProblemType

problemTypeAsString

public final String problemTypeAsString()

Defines the type of supervised learning available for the candidates. Options include: BinaryClassification, MulticlassClassification, and Regression. For more information, see Amazon SageMaker Autopilot problem types and algorithm support.

If the service returns an enum value that is not available in the current SDK version, problemType will return ProblemType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from problemTypeAsString().

Returns:

Defines the type of supervised learning available for the candidates. Options include: BinaryClassification, MulticlassClassification, and Regression. For more information, see Amazon SageMaker Autopilot problem types and algorithm support.

See Also:

ProblemType

autoMLJobObjective

public final AutoMLJobObjective autoMLJobObjective()

Defines the objective metric used to measure the predictive quality of an AutoML job. You provide an AutoMLJobObjective$MetricName and Autopilot infers whether to minimize or maximize it.

Returns:

Defines the objective metric used to measure the predictive quality of an AutoML job. You provide an AutoMLJobObjective$MetricName and Autopilot infers whether to minimize or maximize it.

autoMLJobConfig

public final AutoMLJobConfig autoMLJobConfig()

Contains CompletionCriteria and SecurityConfig settings for the AutoML job.

Returns:

Contains CompletionCriteria and SecurityConfig settings for the AutoML job.

roleArn

public final String roleArn()

The ARN of the role that is used to access the data.

<para>Specifies whether to automatically deploy the best &ATP; model to an endpoint and the name of that endpoint if deployed automatically.</para>

Returns:

The ARN of the role that is used to access the data.

<para>Specifies whether to automatically deploy the best &ATP; model to an endpoint and the name of that endpoint if deployed automatically.</para>

generateCandidateDefinitionsOnly

public final Boolean generateCandidateDefinitionsOnly()

Generates possible candidates without training the models. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.

Returns:

Generates possible candidates without training the models. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.

hasTags

public final boolean hasTags()

Returns true if the Tags property was specified by the sender (it may be empty), or false if the sender did not specify the value (it will be empty). For responses returned by the SDK, the sender is the AWS service.

tags

public final List<Tag> tags()

Each tag consists of a key and an optional value. Tag keys must be unique per resource.

Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.

You can use hasTags() to see if a value was sent in this field.

Returns:

Each tag consists of a key and an optional value. Tag keys must be unique per resource.

modelDeployConfig

public final ModelDeployConfig modelDeployConfig()

Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.

Returns:

Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.

toBuilder

public CreateAutoMlJobRequest.Builder toBuilder()

Description copied from interface: ToCopyableBuilder

Take this object and create a builder that contains all of the current property values of this object.

Specified by:

toBuilder in interface ToCopyableBuilder<CreateAutoMlJobRequest.Builder,CreateAutoMlJobRequest>

Specified by:

toBuilder in class SageMakerRequest

Returns:

a builder for type T

builder

public static CreateAutoMlJobRequest.Builder builder()

serializableBuilderClass

public static Class<? extends CreateAutoMlJobRequest.Builder> serializableBuilderClass()

hashCode

public final int hashCode()

Overrides:

hashCode in class AwsRequest

equals

public final boolean equals(Object obj)

Overrides:

equals in class AwsRequest

equalsBySdkFields

public final boolean equalsBySdkFields(Object obj)

Description copied from interface: SdkPojo

Indicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in an SdkPojo class, and is generated based on a service model.

If an SdkPojo class does not have any inherited fields, equalsBySdkFields and equals are essentially the same.

Specified by:

equalsBySdkFields in interface SdkPojo

Parameters:

obj - the object to be compared with

Returns:

true if the other object equals to this object by sdk fields, false otherwise.

toString

public final String toString()

Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.

Overrides:

toString in class Object

getValueForField

public final <T> Optional<T> getValueForField(String fieldName,
                                              Class<T> clazz)

Description copied from class: SdkRequest

Used to retrieve the value of a field from any class that extends SdkRequest. The field name specified should match the member name from the corresponding service-2.json model specified in the codegen-resources folder for a given service. The class specifies what class to cast the returned value to. If the returned value is also a modeled class, the SdkRequest.getValueForField(String, Class) method will again be available.

Overrides:

getValueForField in class SdkRequest

Parameters:

fieldName - The name of the member to be retrieved.

clazz - The class to cast the returned object to.

Returns:

Optional containing the casted return value

sdkFields

public final List<SdkField<?>> sdkFields()

Specified by:

sdkFields in interface SdkPojo

Returns:

List of SdkField in this POJO. May be empty list but should never be null.