nbsvm/nbsvm.py
def decision_function(self, X):
        "Evaluates the decision function for the samples in X."
        X_nb = X*self.r
        dec_fn = np.add(np.dot(X_nb, self.interpolated_coef_.transpose()),  self.interpolated_intercept_)
        return dec_fn
Evaluates the decision function for the samples in X.
Evaluates the decision function for the samples in X.
Evaluates the decision function for the samples in X .
def decision_function(self, X):
        X_nb = X*self.r
        dec_fn = np.add(np.dot(X_nb, self.interpolated_coef_.transpose()),  self.interpolated_intercept_)
        return dec_fn
def decision_function ( self , X ) : X_nb = X * self . r dec_fn = np . add ( np . dot ( X_nb , self . interpolated_coef_ . transpose ( ) ) , self . interpolated_intercept_ ) return dec_fn
Evaluates the decision function for the samples in X.
Evaluates the decision function for the samples in X .
"Evaluates the decision function for the samples in X."
self
X