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Add root module to API docs
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docs/api_docs/python/tft.md

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# TensorFlow Transform `tft` Module
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::: tensorflow_transform

mkdocs.yml

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- Using tf.Transform with TensorFlow 2.x: tf2_support.md
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- Common Transformations: common_transformations.md
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- Data preprocessing best practices: tft_bestpractices.md
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- API:
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- tft: api_docs/python/tft.md

tensorflow_transform/__init__.py

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from tensorflow_transform import google # pytype: disable=import-error # pylint: disable=g-import-not-at-top
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except ImportError:
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pass
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__all__ = [
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"annotate_asset",
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"apply_buckets",
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"apply_buckets_with_interpolation",
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"apply_pyfunc",
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"apply_vocabulary",
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"bag_of_words",
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"bucketize",
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"bucketize_per_key",
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"compute_and_apply_vocabulary",
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"count_per_key",
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"covariance",
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"DatasetMetadata",
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"deduplicate_tensor_per_row",
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"estimated_probability_density",
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"get_analyze_input_columns",
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"get_num_buckets_for_transformed_feature",
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"get_transform_input_columns",
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"hash_strings",
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"histogram",
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"make_and_track_object",
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"max",
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"mean",
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"min",
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"ngrams",
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"pca",
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"quantiles",
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"scale_by_min_max",
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"scale_by_min_max_per_key",
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"scale_to_0_1",
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"scale_to_0_1_per_key",
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"scale_to_gaussian",
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"scale_to_z_score",
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"scale_to_z_score_per_key",
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"segment_indices",
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"size",
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"sparse_tensor_left_align",
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"sparse_tensor_to_dense_with_shape",
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"sum",
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"tfidf",
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"TFTransformOutput",
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"TransformFeaturesLayer",
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"tukey_h_params",
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"tukey_location",
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"tukey_scale",
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"var",
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"__version__",
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"vocabulary",
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"word_count",
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]

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