tf.contrib.learn.infer_real_valued_columns_from_input_fn

tf.contrib.learn.infer_real_valued_columns_from_input_fn(input_fn)

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

See the guide: Learn (contrib) > Input processing

Creates FeatureColumn objects for inputs defined by input_fn. (deprecated)

THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Please specify feature columns explicitly.

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.

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Last updated May 25, 2018.