筑波大学の機械学習講座：課題のPythonスクリプト部分を作りながらsklearnを勉強する (8) 確率的最急降下法を自作 - Qiita

import pandas as pd import numpy as np import matplotlib.pyplot as plt from sklearn import preprocessing from sklearn.base import BaseEstimator from sklearn.model_selection import cross_validate import statsmodels.api as sm class MyEstimator(BaseEstimator): def __init__(self,ep,eta,l): self.ep = ep self.eta = eta self.l = l self.loss = [] # fit()を実装 def fit(self, X, y): self.coef_ = self.stochasti