tf.contrib.layers.multi_class_target(*args, **kwargs)
See the guide: Layers (contrib) > Feature columns
Creates a _TargetColumn for multi class single label classification. (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
The target column uses softmax cross entropy loss.
n_classes
: Integer, number of classes, must be >= 2label_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 < 2Defined in tensorflow/python/util/deprecation.py
.
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/layers/multi_class_target