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tf.contrib.layers.regression_target(args, *kwargs)

tf.contrib.layers.regression_target(*args, **kwargs)

Creates a _TargetColumn for linear regression. (deprecated)

THIS FUNCTION IS DEPRECATED. It will be removed after 2016-11-12. Instructions for updating: This file will be removed after the deprecation date.Please switch to third_party/tensorflow/contrib/learn/python/learn/estimators/head.py

Args:

  • label_name: String, name of the key in label dict. Can be null if label is a tensor (single headed models).
  • weight_column_name: A string defining feature column name representing weights. It is used to down weight or boost examples during training. It will be multiplied by the loss of the example.
  • label_dimension: dimension of the target for multilabels.

Returns:

An instance of _TargetColumn

Defined in tensorflow/python/util/deprecation.py.

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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/api_docs/python/tf/contrib/layers/regression_target