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Creates a _TargetColumn for multi class single label classification. (deprecated)
tf.contrib.layers.multi_class_target( n_classes, label_name=None, weight_column_name=None )
The target column uses softmax cross entropy loss.
n_classes: Integer, number of classes, must be >= 2
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.
An instance of _MultiClassTargetColumn.
ValueError: if n_classes is < 2