tf.contrib.learn.infer_real_valued_columns_from_input_fn(input_fn)
Defined in tensorflow/contrib/learn/python/learn/estimators/estimator.py
.
Creates FeatureColumn
objects for inputs defined by input_fn
. (deprecated)
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 toTensor
orTensor
. labels -Tensor
of label values.
Returns:
List of FeatureColumn
objects.