tf.contrib.layers.regression_target

tf.contrib.layers.regression_target(
    label_name=None,
    weight_column_name=None,
    label_dimension=1
)

Defined in tensorflow/contrib/layers/python/layers/target_column.py.

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