摘要:
一、基于sigmoid函数的logistic回归 import numpy as np class LogisticRegression: def __init__(self, n_iter=200, eta=1e-3, tol=None): # 训练迭代次数 self.n_iter = n_ite 阅读全文
摘要:
朴素线性回归的实现,直接通过梯度为0解出w的估计值 import numpy as np class OLSLinearRegression: def _ols(self, X, y): '''最小二乘法估算w''' # tmp = np.linalg.inv(np.matmul(X.T, X)) 阅读全文