Python findMinL1 Examples

Example #1

    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)

Example #2

File: linear_model.py Project: kthnd/ml-basics

    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)