classifier.py 文件源码

def fit(self,X,y):
        self.coef_ = None
        self.intercept_ = None
        self.stages_ = []
        for i in range(0,self.max_iter,self.n_iter):

            if self.coef_ is not None:
                assert(self.intercept_ is not None)
                linear_model.SGDRegressor.fit(self,X,y,coef_init=self.coef_,intercept_init=self.intercept_)
            else:
                linear_model.SGDRegressor.fit(self,X,y)
            # record coefs and intercept for later
            self.stages_.append((i+self.n_iter,self.coef_.copy(),self.intercept_.copy()))
            logging.info('done %d/%d steps' % (i+self.n_iter,self.max_iter))
            logging.info('training set auc %f' % self.auc(X,y))