contrib.learn.binary_svm_head
tf.contrib.learn.binary_svm_head
tf.contrib.learn.binary_svm_head
binary_svm_head( label_name=None, weight_column_name=None, enable_centered_bias=False, head_name=None, thresholds=None )
Defined in tensorflow/contrib/learn/python/learn/estimators/head.py
.
Creates a Head
for binary classification with SVMs.
The head uses binary hinge loss.
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. -
enable_centered_bias
: A bool. If True, estimator will learn a centered bias variable for each class. Rest of the model structure learns the residual after centered bias. -
head_name
: name of the head. If provided, predictions, summary and metrics keys will be suffixed by"/" + head_name
and the default variable scope will behead_name
. -
thresholds
: thresholds for eval metrics, defaults to [.5]
Returns:
An instance of Head
for binary classification with SVM.
© 2017 The TensorFlow Authors. All rights reserved.
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/learn/binary_svm_head