tf.contrib.layers.multi_class_target

View source on GitHub

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