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.