tf.contrib.layers.regression_target
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Creates a _TargetColumn for linear regression. (deprecated)
tf.contrib.layers.regression_target(
label_name=None, weight_column_name=None, label_dimension=1
)
Warning: 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
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2020-10-01 UTC.
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