W3cubDocs

/TensorFlow Python

tf.contrib.learn.infer_real_valued_columns_from_input_fn(input_fn)

tf.contrib.learn.infer_real_valued_columns_from_input_fn(input_fn)

See the guide: Learn (contrib) > Input processing

Creates FeatureColumn objects for inputs defined by input_fn.

This interprets all inputs as dense, fixed-length float values. This creates a local graph in which it calls input_fn to build the tensors, then discards it.

Args:

  • input_fn: Input function returning a tuple of: features - Dictionary of string feature name to Tensor or Tensor. labels - Tensor of label values.

Returns:

List of FeatureColumn objects.

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

© 2017 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/learn/infer_real_valued_columns_from_input_fn