tf.contrib.learn.infer_real_valued_columns_from_input(x)
Defined in tensorflow/contrib/learn/python/learn/estimators/estimator.py.
Creates FeatureColumn objects for inputs defined by input x. (deprecated)
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.