|---| | [ View source on GitHub](https://github.com/tensorflow/transform/blob/v1.21.0/tensorflow_transform/__init__.py) | Init module for TF.Transform. ## Classes [`class DatasetMetadata`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/DatasetMetadata): Metadata about a dataset used for the "instance dict" format. [`class TFTransformOutput`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/TFTransformOutput): A wrapper around the output of the tf.Transform. [`class TransformFeaturesLayer`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/TransformFeaturesLayer): A Keras layer for applying a tf.Transform output to input layers. ## Functions [`annotate_asset(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/annotate_asset): Creates mapping between user-defined keys and SavedModel assets. [`apply_buckets(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/apply_buckets): Returns a bucketized column, with a bucket index assigned to each input. [`apply_buckets_with_interpolation(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/apply_buckets_with_interpolation): Interpolates within the provided buckets and then normalizes to 0 to 1. [`apply_pyfunc(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/apply_pyfunc): Applies a python function to some `Tensor`s. [`apply_vocabulary(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/apply_vocabulary): Maps `x` to a vocabulary specified by the deferred tensor. [`bag_of_words(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/bag_of_words): Computes a bag of "words" based on the specified ngram configuration. [`bucketize(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/bucketize): Returns a bucketized column, with a bucket index assigned to each input. [`bucketize_per_key(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/bucketize_per_key): Returns a bucketized column, with a bucket index assigned to each input. [`compute_and_apply_vocabulary(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/compute_and_apply_vocabulary): Generates a vocabulary for `x` and maps it to an integer with this vocab. [`count_per_key(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/count_per_key): Computes the count of each element of a `Tensor`. [`covariance(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/covariance): Computes the covariance matrix over the whole dataset. [`deduplicate_tensor_per_row(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/deduplicate_tensor_per_row): Deduplicates each row (0-th dimension) of the provided tensor. [`estimated_probability_density(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/estimated_probability_density): Computes an approximate probability density at each x, given the bins. [`get_analyze_input_columns(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/get_analyze_input_columns): Return columns that are required inputs of `AnalyzeDataset`. [`get_num_buckets_for_transformed_feature(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/get_num_buckets_for_transformed_feature): Provides the number of buckets for a transformed feature if annotated. [`get_transform_input_columns(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/get_transform_input_columns): Return columns that are required inputs of `TransformDataset`. [`hash_strings(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/hash_strings): Hash strings into buckets. [`histogram(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/histogram): Computes a histogram over x, given the bin boundaries or bin count. [`make_and_track_object(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/make_and_track_object): Keeps track of the object created by invoking `trackable_factory_callable`. [`max(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/max): Computes the maximum of the values of `x` over the whole dataset. [`mean(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/mean): Computes the mean of the values of a `Tensor` over the whole dataset. [`min(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/min): Computes the minimum of the values of `x` over the whole dataset. [`ngrams(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/ngrams): Create a `SparseTensor` of n-grams. [`pca(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/pca): Computes PCA on the dataset using biased covariance. [`quantiles(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/quantiles): Computes the quantile boundaries of a `Tensor` over the whole dataset. [`scale_by_min_max(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/scale_by_min_max): Scale a numerical column into the range \[output_min, output_max\]. [`scale_by_min_max_per_key(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/scale_by_min_max_per_key): Scale a numerical column into a predefined range on a per-key basis. [`scale_to_0_1(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/scale_to_0_1): Returns a column which is the input column scaled to have range \[0,1\]. [`scale_to_0_1_per_key(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/scale_to_0_1_per_key): Returns a column which is the input column scaled to have range \[0,1\]. [`scale_to_gaussian(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/scale_to_gaussian): Returns an (approximately) normal column with mean to 0 and variance 1. [`scale_to_z_score(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/scale_to_z_score): Returns a standardized column with mean 0 and variance 1. [`scale_to_z_score_per_key(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/scale_to_z_score_per_key): Returns a standardized column with mean 0 and variance 1, grouped per key. [`segment_indices(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/segment_indices): Returns a `Tensor` of indices within each segment. [`size(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/size): Computes the total size of instances in a `Tensor` over the whole dataset. [`sparse_tensor_left_align(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/sparse_tensor_left_align): Re-arranges a [`tf.SparseTensor`](https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor) and returns a left-aligned version of it. [`sparse_tensor_to_dense_with_shape(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/sparse_tensor_to_dense_with_shape): Converts a `SparseTensor` into a dense tensor and sets its shape. [`sum(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/sum): Computes the sum of the values of a `Tensor` over the whole dataset. [`tfidf(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/tfidf): Maps the terms in x to their term frequency \* inverse document frequency. [`tukey_h_params(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/tukey_h_params): Computes the h parameters of the values of a `Tensor` over the dataset. [`tukey_location(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/tukey_location): Computes the location of the values of a `Tensor` over the whole dataset. [`tukey_scale(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/tukey_scale): Computes the scale of the values of a `Tensor` over the whole dataset. [`var(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/var): Computes the variance of the values of a `Tensor` over the whole dataset. [`vocabulary(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/vocabulary): Computes the unique values of `x` over the whole dataset. [`word_count(...)`](https://www.tensorflow.org/tfx/transform/api_docs/python/tft/word_count): Find the token count of each document/row.


| ## Other Members || |---|---| | **version** | `'1.21.0'` |