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AWS SDK for Java 1.x API Reference - 1.12.795

We announced the upcoming end-of-support for AWS SDK for Java (v1). We recommend that you migrate to AWS SDK for Java v2. For dates, additional details, and information on how to migrate, please refer to the linked announcement.
com.amazonaws.services.machinelearning.model

Class CreateDataSourceFromS3Request

    • Constructor Detail

      • CreateDataSourceFromS3Request

        public CreateDataSourceFromS3Request()
    • Method Detail

      • setDataSourceId

        public void setDataSourceId(String dataSourceId)

        A user-supplied identifier that uniquely identifies the DataSource.

        Parameters:
        dataSourceId - A user-supplied identifier that uniquely identifies the DataSource.
      • getDataSourceId

        public String getDataSourceId()

        A user-supplied identifier that uniquely identifies the DataSource.

        Returns:
        A user-supplied identifier that uniquely identifies the DataSource.
      • withDataSourceId

        public CreateDataSourceFromS3Request withDataSourceId(String dataSourceId)

        A user-supplied identifier that uniquely identifies the DataSource.

        Parameters:
        dataSourceId - A user-supplied identifier that uniquely identifies the DataSource.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • setDataSourceName

        public void setDataSourceName(String dataSourceName)

        A user-supplied name or description of the DataSource.

        Parameters:
        dataSourceName - A user-supplied name or description of the DataSource.
      • getDataSourceName

        public String getDataSourceName()

        A user-supplied name or description of the DataSource.

        Returns:
        A user-supplied name or description of the DataSource.
      • withDataSourceName

        public CreateDataSourceFromS3Request withDataSourceName(String dataSourceName)

        A user-supplied name or description of the DataSource.

        Parameters:
        dataSourceName - A user-supplied name or description of the DataSource.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • setDataSpec

        public void setDataSpec(S3DataSpec dataSpec)

        The data specification of a DataSource:

        • DataLocationS3 - The Amazon S3 location of the observation data.

        • DataSchemaLocationS3 - The Amazon S3 location of the DataSchema.

        • DataSchema - A JSON string representing the schema. This is not required if DataSchemaUri is specified.

        • DataRearrangement - A JSON string that represents the splitting and rearrangement requirements for the Datasource.

          Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

        Parameters:
        dataSpec - The data specification of a DataSource:

        • DataLocationS3 - The Amazon S3 location of the observation data.

        • DataSchemaLocationS3 - The Amazon S3 location of the DataSchema.

        • DataSchema - A JSON string representing the schema. This is not required if DataSchemaUri is specified.

        • DataRearrangement - A JSON string that represents the splitting and rearrangement requirements for the Datasource.

          Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

      • getDataSpec

        public S3DataSpec getDataSpec()

        The data specification of a DataSource:

        • DataLocationS3 - The Amazon S3 location of the observation data.

        • DataSchemaLocationS3 - The Amazon S3 location of the DataSchema.

        • DataSchema - A JSON string representing the schema. This is not required if DataSchemaUri is specified.

        • DataRearrangement - A JSON string that represents the splitting and rearrangement requirements for the Datasource.

          Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

        Returns:
        The data specification of a DataSource:

        • DataLocationS3 - The Amazon S3 location of the observation data.

        • DataSchemaLocationS3 - The Amazon S3 location of the DataSchema.

        • DataSchema - A JSON string representing the schema. This is not required if DataSchemaUri is specified.

        • DataRearrangement - A JSON string that represents the splitting and rearrangement requirements for the Datasource.

          Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

      • withDataSpec

        public CreateDataSourceFromS3Request withDataSpec(S3DataSpec dataSpec)

        The data specification of a DataSource:

        • DataLocationS3 - The Amazon S3 location of the observation data.

        • DataSchemaLocationS3 - The Amazon S3 location of the DataSchema.

        • DataSchema - A JSON string representing the schema. This is not required if DataSchemaUri is specified.

        • DataRearrangement - A JSON string that represents the splitting and rearrangement requirements for the Datasource.

          Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

        Parameters:
        dataSpec - The data specification of a DataSource:

        • DataLocationS3 - The Amazon S3 location of the observation data.

        • DataSchemaLocationS3 - The Amazon S3 location of the DataSchema.

        • DataSchema - A JSON string representing the schema. This is not required if DataSchemaUri is specified.

        • DataRearrangement - A JSON string that represents the splitting and rearrangement requirements for the Datasource.

          Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • setComputeStatistics

        public void setComputeStatistics(Boolean computeStatistics)

        The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training.

        Parameters:
        computeStatistics - The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training.
      • getComputeStatistics

        public Boolean getComputeStatistics()

        The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training.

        Returns:
        The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training.
      • withComputeStatistics

        public CreateDataSourceFromS3Request withComputeStatistics(Boolean computeStatistics)

        The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training.

        Parameters:
        computeStatistics - The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • isComputeStatistics

        public Boolean isComputeStatistics()

        The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training.

        Returns:
        The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training.
      • toString

        public 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
        Returns:
        A string representation of this object.
        See Also:
        Object.toString()
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