Package software.amazon.awssdk.services.sagemaker.model

Interface BatchTransformInput.Builder

    • Method Detail

      • dataCapturedDestinationS3Uri

        BatchTransformInput.Builder dataCapturedDestinationS3Uri​(String dataCapturedDestinationS3Uri)

        The Amazon S3 location being used to capture the data.

        Parameters:
        dataCapturedDestinationS3Uri - The Amazon S3 location being used to capture the data.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • datasetFormat

        BatchTransformInput.Builder datasetFormat​(MonitoringDatasetFormat datasetFormat)

        The dataset format for your batch transform job.

        Parameters:
        datasetFormat - The dataset format for your batch transform job.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • localPath

        BatchTransformInput.Builder localPath​(String localPath)

        Path to the filesystem where the batch transform data is available to the container.

        Parameters:
        localPath - Path to the filesystem where the batch transform data is available to the container.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • s3InputMode

        BatchTransformInput.Builder s3InputMode​(String s3InputMode)

        Whether the Pipe or File is used as the input mode for transferring data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

        Parameters:
        s3InputMode - Whether the Pipe or File is used as the input mode for transferring data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
        See Also:
        ProcessingS3InputMode, ProcessingS3InputMode

      • s3InputMode

        BatchTransformInput.Builder s3InputMode​(ProcessingS3InputMode s3InputMode)

        Whether the Pipe or File is used as the input mode for transferring data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

        Parameters:
        s3InputMode - Whether the Pipe or File is used as the input mode for transferring data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.
        Returns:
        Returns a reference to this object so that method calls can be chained together.
        See Also:
        ProcessingS3InputMode, ProcessingS3InputMode

      • s3DataDistributionType

        BatchTransformInput.Builder s3DataDistributionType​(String s3DataDistributionType)

        Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to FullyReplicated

        Parameters:
        s3DataDistributionType - Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to FullyReplicated
        Returns:
        Returns a reference to this object so that method calls can be chained together.
        See Also:
        ProcessingS3DataDistributionType, ProcessingS3DataDistributionType

      • featuresAttribute

        BatchTransformInput.Builder featuresAttribute​(String featuresAttribute)

        The attributes of the input data that are the input features.

        Parameters:
        featuresAttribute - The attributes of the input data that are the input features.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • inferenceAttribute

        BatchTransformInput.Builder inferenceAttribute​(String inferenceAttribute)

        The attribute of the input data that represents the ground truth label.

        Parameters:
        inferenceAttribute - The attribute of the input data that represents the ground truth label.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • probabilityAttribute

        BatchTransformInput.Builder probabilityAttribute​(String probabilityAttribute)

        In a classification problem, the attribute that represents the class probability.

        Parameters:
        probabilityAttribute - In a classification problem, the attribute that represents the class probability.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • probabilityThresholdAttribute

        BatchTransformInput.Builder probabilityThresholdAttribute​(Double probabilityThresholdAttribute)

        The threshold for the class probability to be evaluated as a positive result.

        Parameters:
        probabilityThresholdAttribute - The threshold for the class probability to be evaluated as a positive result.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • startTimeOffset

        BatchTransformInput.Builder startTimeOffset​(String startTimeOffset)

        If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.

        Parameters:
        startTimeOffset - If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • endTimeOffset

        BatchTransformInput.Builder endTimeOffset​(String endTimeOffset)

        If specified, monitoring jobs subtract this time from the end time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.

        Parameters:
        endTimeOffset - If specified, monitoring jobs subtract this time from the end time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • excludeFeaturesAttribute

        BatchTransformInput.Builder excludeFeaturesAttribute​(String excludeFeaturesAttribute)

        The attributes of the input data to exclude from the analysis.

        Parameters:
        excludeFeaturesAttribute - The attributes of the input data to exclude from the analysis.
        Returns:
        Returns a reference to this object so that method calls can be chained together.