svm

svm.LinearSVC()

class sklearn.svm.LinearSVC(penalty='l2', loss='squared_hinge', dual=True, tol=0.0001, C=1.0, multi_class='ovr', fit_intercept=True, intercept_scaling=1

2017-01-15 04:27:07

svm.LinearSVR()

class sklearn.svm.LinearSVR(epsilon=0.0, tol=0.0001, C=1.0, loss='epsilon_insensitive', fit_intercept=True, intercept_scaling=1.0, dual=True

2017-01-15 04:27:07

sklearn.svm.libsvm.predict_proba()

sklearn.svm.libsvm.predict_proba() Predict probabilities svm_model stores all parameters needed to

2017-01-15 04:26:57

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