View source on GitHub |
Creates FeatureColumn
objects for inputs defined by input x
. (deprecated)
tf.contrib.learn.infer_real_valued_columns_from_input(
x
)
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.
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