Module: tft_beam

Module level imports for tensorflow_transform.beam.

Modules

analyzer_cache module: Module which allows a pipeilne to define and utilize cached analyzers.

experimental module: Module level imports for tensorflow_transform.beam.experimental.

class AnalyzeAndTransformDataset: Combination of AnalyzeDataset and TransformDataset.

class AnalyzeDataset: Takes a preprocessing_fn and computes the relevant statistics.

class AnalyzeDatasetWithCache: Takes a preprocessing_fn and computes the relevant statistics.

class Context: Context manager for tensorflow-transform.

class EncodeTransformedDataset: Encodes transformed data into serialized tf.Examples.

class ReadTransformFn: Reads a TransformFn written by WriteTransformFn.

class TransformDataset: Applies the transformation computed by transforming a Dataset.

class WriteMetadata: A PTransform to write Metadata to disk.

class WriteTransformFn: Writes a TransformFn to disk.