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 be head_name.
thresholds
thresholds for eval metrics, defaults to [.5]
Returns
An instance of Head for binary classification with SVM.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.contrib.learn.binary_svm_head\n\n\u003cbr /\u003e\n\n|---------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/contrib/learn/python/learn/estimators/head.py#L351-L384) |\n\nCreates a `Head` for binary classification with SVMs. (deprecated) \n\n tf.contrib.learn.binary_svm_head(\n label_name=None, weight_column_name=None, enable_centered_bias=False,\n head_name=None, thresholds=None\n )\n\n| **Warning:** THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Please switch to tf.contrib.estimator.\\*_head.\n\nThe head uses binary hinge loss.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `label_name` | String, name of the key in label dict. Can be null if label is a tensor (single headed models). |\n| `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. |\n| `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. |\n| `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 be `head_name`. |\n| `thresholds` | thresholds for eval metrics, defaults to \\[.5\\] |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| An instance of `Head` for binary classification with SVM. ||\n\n\u003cbr /\u003e"]]
View source on GitHub