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)
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