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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.

Other Members

__cached__

__loader__

__spec__

© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/feature_column