sklearn.svm.libsvm
.predict_proba¶
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sklearn.svm.libsvm.
predict_proba
()¶ Predict probabilities
svm_model stores all parameters needed to predict a given value.
For speed, all real work is done at the C level in function copy_predict (libsvm_helper.c).
We have to reconstruct model and parameters to make sure we stay in sync with the python object.
See sklearn.svm.predict for a complete list of parameters.
Parameters: X : array-like, dtype=float
kernel : {‘linear’, ‘rbf’, ‘poly’, ‘sigmoid’, ‘precomputed’}
Returns: dec_values : array
predicted values.