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Module: tf.contrib.feature_column

Defined in tensorflow/contrib/feature_column/__init__.py.

Experimental utilities for tf.feature_column.

Functions

sequence_categorical_column_with_hash_bucket(...): A sequence of categorical terms where ids are set by hashing.

sequence_categorical_column_with_identity(...): Returns a feature column that represents sequences of integers.

sequence_categorical_column_with_vocabulary_file(...): A sequence of categorical terms where ids use a vocabulary file.

sequence_categorical_column_with_vocabulary_list(...): A sequence of categorical terms where ids use an in-memory list.

sequence_input_layer(...): "Builds input layer for sequence input.

sequence_numeric_column(...): Returns a feature column that represents sequences of numeric data.