tf.contrib.learn.infer_real_valued_columns_from_input
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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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/learn/infer_real_valued_columns_from_input