def fit(self,X, y): n, d = X.shape self.w = np.zeros(d) utils.check_gradient(self, X, y) (self.w, f) = findMin.findMinL1(self.funObj, self.w, self.L1_lambda, self.maxEvals, X, y, verbose=self.verbose)
def fit(self, X, y): n, d = X.shape # Initial guess self.w = np.zeros(d) utils.check_gradient(self, X, y) (self.w, f) = findMin.findMinL1(self.funObj, self.w, self.lammy, self.maxEvals, X, y, verbose=self.verbose)