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tf.contrib.learn.infer_real_valued_columns_from_input(x)

tf.contrib.learn.infer_real_valued_columns_from_input(x)

See the guide: Learn (contrib) > Input processing

Creates FeatureColumn objects for inputs defined by input x.

This interprets all inputs as dense, fixed-length float values.

Args:

  • x: Real-valued matrix of shape [n_samples, n_features...]. Can be iterator that returns arrays of features.

Returns:

List of FeatureColumn objects.

Defined in tensorflow/contrib/learn/python/learn/estimators/estimator.py.

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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/learn/infer_real_valued_columns_from_input