Interface CreateDatasetRequest.Builder
- All Superinterfaces:
AwsRequest.Builder
,Buildable
,CopyableBuilder<CreateDatasetRequest.Builder,
,CreateDatasetRequest> ForecastRequest.Builder
,SdkBuilder<CreateDatasetRequest.Builder,
,CreateDatasetRequest> SdkPojo
,SdkRequest.Builder
- Enclosing class:
CreateDatasetRequest
-
Method Summary
Modifier and TypeMethodDescriptiondataFrequency
(String dataFrequency) The frequency of data collection.datasetName
(String datasetName) A name for the dataset.datasetType
(String datasetType) The dataset type.datasetType
(DatasetType datasetType) The dataset type.The domain associated with the dataset.The domain associated with the dataset.default CreateDatasetRequest.Builder
encryptionConfig
(Consumer<EncryptionConfig.Builder> encryptionConfig) An Key Management Service (KMS) key and the Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.encryptionConfig
(EncryptionConfig encryptionConfig) An Key Management Service (KMS) key and the Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.overrideConfiguration
(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer) Add an optional request override configuration.overrideConfiguration
(AwsRequestOverrideConfiguration overrideConfiguration) Add an optional request override configuration.default CreateDatasetRequest.Builder
schema
(Consumer<Schema.Builder> schema) The schema for the dataset.The schema for the dataset.tags
(Collection<Tag> tags) The optional metadata that you apply to the dataset to help you categorize and organize them.tags
(Consumer<Tag.Builder>... tags) The optional metadata that you apply to the dataset to help you categorize and organize them.The optional metadata that you apply to the dataset to help you categorize and organize them.Methods inherited from interface software.amazon.awssdk.awscore.AwsRequest.Builder
overrideConfiguration
Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder
copy
Methods inherited from interface software.amazon.awssdk.services.forecast.model.ForecastRequest.Builder
build
Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder
applyMutation, build
Methods inherited from interface software.amazon.awssdk.core.SdkPojo
equalsBySdkFields, sdkFields
-
Method Details
-
datasetName
A name for the dataset.
- Parameters:
datasetName
- A name for the dataset.- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
domain
The domain associated with the dataset. When you add a dataset to a dataset group, this value and the value specified for the
Domain
parameter of the CreateDatasetGroup operation must match.The
Domain
andDatasetType
that you choose determine the fields that must be present in the training data that you import to the dataset. For example, if you choose theRETAIL
domain andTARGET_TIME_SERIES
as theDatasetType
, Amazon Forecast requiresitem_id
,timestamp
, anddemand
fields to be present in your data. For more information, see Importing datasets.- Parameters:
domain
- The domain associated with the dataset. When you add a dataset to a dataset group, this value and the value specified for theDomain
parameter of the CreateDatasetGroup operation must match.The
Domain
andDatasetType
that you choose determine the fields that must be present in the training data that you import to the dataset. For example, if you choose theRETAIL
domain andTARGET_TIME_SERIES
as theDatasetType
, Amazon Forecast requiresitem_id
,timestamp
, anddemand
fields to be present in your data. For more information, see Importing datasets.- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
-
domain
The domain associated with the dataset. When you add a dataset to a dataset group, this value and the value specified for the
Domain
parameter of the CreateDatasetGroup operation must match.The
Domain
andDatasetType
that you choose determine the fields that must be present in the training data that you import to the dataset. For example, if you choose theRETAIL
domain andTARGET_TIME_SERIES
as theDatasetType
, Amazon Forecast requiresitem_id
,timestamp
, anddemand
fields to be present in your data. For more information, see Importing datasets.- Parameters:
domain
- The domain associated with the dataset. When you add a dataset to a dataset group, this value and the value specified for theDomain
parameter of the CreateDatasetGroup operation must match.The
Domain
andDatasetType
that you choose determine the fields that must be present in the training data that you import to the dataset. For example, if you choose theRETAIL
domain andTARGET_TIME_SERIES
as theDatasetType
, Amazon Forecast requiresitem_id
,timestamp
, anddemand
fields to be present in your data. For more information, see Importing datasets.- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
-
datasetType
The dataset type. Valid values depend on the chosen
Domain
.- Parameters:
datasetType
- The dataset type. Valid values depend on the chosenDomain
.- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
-
datasetType
The dataset type. Valid values depend on the chosen
Domain
.- Parameters:
datasetType
- The dataset type. Valid values depend on the chosenDomain
.- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
-
dataFrequency
The frequency of data collection. This parameter is required for RELATED_TIME_SERIES datasets.
Valid intervals are an integer followed by Y (Year), M (Month), W (Week), D (Day), H (Hour), and min (Minute). For example, "1D" indicates every day and "15min" indicates every 15 minutes. You cannot specify a value that would overlap with the next larger frequency. That means, for example, you cannot specify a frequency of 60 minutes, because that is equivalent to 1 hour. The valid values for each frequency are the following:
-
Minute - 1-59
-
Hour - 1-23
-
Day - 1-6
-
Week - 1-4
-
Month - 1-11
-
Year - 1
Thus, if you want every other week forecasts, specify "2W". Or, if you want quarterly forecasts, you specify "3M".
- Parameters:
dataFrequency
- The frequency of data collection. This parameter is required for RELATED_TIME_SERIES datasets.Valid intervals are an integer followed by Y (Year), M (Month), W (Week), D (Day), H (Hour), and min (Minute). For example, "1D" indicates every day and "15min" indicates every 15 minutes. You cannot specify a value that would overlap with the next larger frequency. That means, for example, you cannot specify a frequency of 60 minutes, because that is equivalent to 1 hour. The valid values for each frequency are the following:
-
Minute - 1-59
-
Hour - 1-23
-
Day - 1-6
-
Week - 1-4
-
Month - 1-11
-
Year - 1
Thus, if you want every other week forecasts, specify "2W". Or, if you want quarterly forecasts, you specify "3M".
-
- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
-
schema
The schema for the dataset. The schema attributes and their order must match the fields in your data. The dataset
Domain
andDatasetType
that you choose determine the minimum required fields in your training data. For information about the required fields for a specific dataset domain and type, see Dataset Domains and Dataset Types.- Parameters:
schema
- The schema for the dataset. The schema attributes and their order must match the fields in your data. The datasetDomain
andDatasetType
that you choose determine the minimum required fields in your training data. For information about the required fields for a specific dataset domain and type, see Dataset Domains and Dataset Types.- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
schema
The schema for the dataset. The schema attributes and their order must match the fields in your data. The dataset
This is a convenience method that creates an instance of theDomain
andDatasetType
that you choose determine the minimum required fields in your training data. For information about the required fields for a specific dataset domain and type, see Dataset Domains and Dataset Types.Schema.Builder
avoiding the need to create one manually viaSchema.builder()
.When the
Consumer
completes,SdkBuilder.build()
is called immediately and its result is passed toschema(Schema)
.- Parameters:
schema
- a consumer that will call methods onSchema.Builder
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
-
encryptionConfig
An Key Management Service (KMS) key and the Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.
- Parameters:
encryptionConfig
- An Key Management Service (KMS) key and the Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
encryptionConfig
default CreateDatasetRequest.Builder encryptionConfig(Consumer<EncryptionConfig.Builder> encryptionConfig) An Key Management Service (KMS) key and the Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.
This is a convenience method that creates an instance of theEncryptionConfig.Builder
avoiding the need to create one manually viaEncryptionConfig.builder()
.When the
Consumer
completes,SdkBuilder.build()
is called immediately and its result is passed toencryptionConfig(EncryptionConfig)
.- Parameters:
encryptionConfig
- a consumer that will call methods onEncryptionConfig.Builder
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
-
tags
The optional metadata that you apply to the dataset to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
-
Maximum number of tags per resource - 50.
-
For each resource, each tag key must be unique, and each tag key can have only one value.
-
Maximum key length - 128 Unicode characters in UTF-8.
-
Maximum value length - 256 Unicode characters in UTF-8.
-
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
-
Tag keys and values are case sensitive.
-
Do not use
aws:
,AWS:
, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value hasaws
as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix ofaws
do not count against your tags per resource limit.
- Parameters:
tags
- The optional metadata that you apply to the dataset to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.The following basic restrictions apply to tags:
-
Maximum number of tags per resource - 50.
-
For each resource, each tag key must be unique, and each tag key can have only one value.
-
Maximum key length - 128 Unicode characters in UTF-8.
-
Maximum value length - 256 Unicode characters in UTF-8.
-
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
-
Tag keys and values are case sensitive.
-
Do not use
aws:
,AWS:
, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value hasaws
as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix ofaws
do not count against your tags per resource limit.
-
- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
-
tags
The optional metadata that you apply to the dataset to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
-
Maximum number of tags per resource - 50.
-
For each resource, each tag key must be unique, and each tag key can have only one value.
-
Maximum key length - 128 Unicode characters in UTF-8.
-
Maximum value length - 256 Unicode characters in UTF-8.
-
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
-
Tag keys and values are case sensitive.
-
Do not use
aws:
,AWS:
, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value hasaws
as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix ofaws
do not count against your tags per resource limit.
- Parameters:
tags
- The optional metadata that you apply to the dataset to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.The following basic restrictions apply to tags:
-
Maximum number of tags per resource - 50.
-
For each resource, each tag key must be unique, and each tag key can have only one value.
-
Maximum key length - 128 Unicode characters in UTF-8.
-
Maximum value length - 256 Unicode characters in UTF-8.
-
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
-
Tag keys and values are case sensitive.
-
Do not use
aws:
,AWS:
, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value hasaws
as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix ofaws
do not count against your tags per resource limit.
-
- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
-
tags
The optional metadata that you apply to the dataset to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
-
Maximum number of tags per resource - 50.
-
For each resource, each tag key must be unique, and each tag key can have only one value.
-
Maximum key length - 128 Unicode characters in UTF-8.
-
Maximum value length - 256 Unicode characters in UTF-8.
-
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
-
Tag keys and values are case sensitive.
-
Do not use
aws:
,AWS:
, or any upper or lowercase combination of such as a prefix for keys as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value hasaws
as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix ofaws
do not count against your tags per resource limit.
Tag.Builder
avoiding the need to create one manually viaTag.builder()
.When the
Consumer
completes,SdkBuilder.build()
is called immediately and its result is passed totags(List<Tag>)
.- Parameters:
tags
- a consumer that will call methods onTag.Builder
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
-
-
overrideConfiguration
CreateDatasetRequest.Builder overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration) Description copied from interface:AwsRequest.Builder
Add an optional request override configuration.- Specified by:
overrideConfiguration
in interfaceAwsRequest.Builder
- Parameters:
overrideConfiguration
- The override configuration.- Returns:
- This object for method chaining.
-
overrideConfiguration
CreateDatasetRequest.Builder overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer) Description copied from interface:AwsRequest.Builder
Add an optional request override configuration.- Specified by:
overrideConfiguration
in interfaceAwsRequest.Builder
- Parameters:
builderConsumer
- AConsumer
to which an emptyAwsRequestOverrideConfiguration.Builder
will be given.- Returns:
- This object for method chaining.
-