Class ModelTrainingDataChannel
- All Implemented Interfaces:
Serializable,SdkPojo,ToCopyableBuilder<ModelTrainingDataChannel.Builder,ModelTrainingDataChannel>
Information about the model training data channel. A training data channel is a named data source that the training algorithms can consume.
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Nested Class Summary
Nested Classes -
Method Summary
Modifier and TypeMethodDescriptionbuilder()final StringThe name of the training data channel.final booleanfinal booleanequalsBySdkFields(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.final <T> Optional<T> getValueForField(String fieldName, Class<T> clazz) final inthashCode()final StringThe Amazon Resource Name (ARN) of the ML input channel for this model training data channel.final S3DataDistributionTypeSpecifies how the training data stored in Amazon S3 should be distributed to training instances.final StringSpecifies how the training data stored in Amazon S3 should be distributed to training instances.static Class<? extends ModelTrainingDataChannel.Builder> Take this object and create a builder that contains all of the current property values of this object.final StringtoString()Returns a string representation of this object.Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Details
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mlInputChannelArn
The Amazon Resource Name (ARN) of the ML input channel for this model training data channel.
- Returns:
- The Amazon Resource Name (ARN) of the ML input channel for this model training data channel.
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channelName
The name of the training data channel.
- Returns:
- The name of the training data channel.
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s3DataDistributionType
Specifies how the training data stored in Amazon S3 should be distributed to training instances. This parameter controls the data distribution strategy for the training job:
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FullyReplicated- The entire dataset is replicated on each training instance. This is suitable for smaller datasets and algorithms that require access to the complete dataset. -
ShardedByS3Key- The dataset is distributed across training instances based on Amazon S3 key names. This is suitable for larger datasets and distributed training scenarios where each instance processes a subset of the data.
If the service returns an enum value that is not available in the current SDK version,
s3DataDistributionTypewill returnS3DataDistributionType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available froms3DataDistributionTypeAsString().- Returns:
- Specifies how the training data stored in Amazon S3 should be distributed to training instances. This
parameter controls the data distribution strategy for the training job:
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FullyReplicated- The entire dataset is replicated on each training instance. This is suitable for smaller datasets and algorithms that require access to the complete dataset. -
ShardedByS3Key- The dataset is distributed across training instances based on Amazon S3 key names. This is suitable for larger datasets and distributed training scenarios where each instance processes a subset of the data.
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s3DataDistributionTypeAsString
Specifies how the training data stored in Amazon S3 should be distributed to training instances. This parameter controls the data distribution strategy for the training job:
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FullyReplicated- The entire dataset is replicated on each training instance. This is suitable for smaller datasets and algorithms that require access to the complete dataset. -
ShardedByS3Key- The dataset is distributed across training instances based on Amazon S3 key names. This is suitable for larger datasets and distributed training scenarios where each instance processes a subset of the data.
If the service returns an enum value that is not available in the current SDK version,
s3DataDistributionTypewill returnS3DataDistributionType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available froms3DataDistributionTypeAsString().- Returns:
- Specifies how the training data stored in Amazon S3 should be distributed to training instances. This
parameter controls the data distribution strategy for the training job:
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FullyReplicated- The entire dataset is replicated on each training instance. This is suitable for smaller datasets and algorithms that require access to the complete dataset. -
ShardedByS3Key- The dataset is distributed across training instances based on Amazon S3 key names. This is suitable for larger datasets and distributed training scenarios where each instance processes a subset of the data.
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- See Also:
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toBuilder
Description copied from interface:ToCopyableBuilderTake this object and create a builder that contains all of the current property values of this object.- Specified by:
toBuilderin interfaceToCopyableBuilder<ModelTrainingDataChannel.Builder,ModelTrainingDataChannel> - Returns:
- a builder for type T
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builder
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serializableBuilderClass
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hashCode
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equals
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equalsBySdkFields
Description copied from interface:SdkPojoIndicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in anSdkPojoclass, and is generated based on a service model.If an
SdkPojoclass does not have any inherited fields,equalsBySdkFieldsandequalsare essentially the same.- Specified by:
equalsBySdkFieldsin interfaceSdkPojo- Parameters:
obj- the object to be compared with- Returns:
- true if the other object equals to this object by sdk fields, false otherwise.
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toString
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getValueForField
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sdkFields
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sdkFieldNameToField
- Specified by:
sdkFieldNameToFieldin interfaceSdkPojo- Returns:
- The mapping between the field name and its corresponding field.
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