Creates a _TargetColumn for linear regression. (deprecated)
tf.contrib.layers.regression_target( label_name=None, weight_column_name=None, label_dimension=1 )
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.
An instance of _TargetColumn