kobakenkken https://blog.hatena.ne.jp/kobakenkken/ とある新卒SEの備忘録 https://kenbo.hatenablog.com/ python numpy pythonのnumpyで最小二乗法で線形近似し傾き，切片，回帰式を取得したいと思います． ```python # -*- coding: utf-8 -*-import numpy as npimport matplotlib.pyplot as plt def main(): X = [1,2,3,4,5] Y = [1.1, 2.1, 2.8, 4.3, 5.1] A = np.array([X,np.ones(len(X))]) A = A.T #線形回帰(np.linalg.lstsq)を実行してa:傾き、b:切片を取得。 a,b = np.linalg.lstsq(A,Y)[0] … 190 <iframe src="https://hatenablog-parts.com/embed?url=https%3A%2F%2Fkenbo.hatenablog.com%2Fentry%2F2018%2F11%2F30%2F091511" title="最小二乗法で線形近似(python,numpy) - とある新卒SEの備忘録" class="embed-card embed-blogcard" scrolling="no" frameborder="0" style="display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;"></iframe> https://cdn-ak.f.st-hatena.com/images/fotolife/k/kobakenkken/20181130/20181130091444.png Hatena Blog https://hatena.blog 2018-11-30 09:15:11 rich https://kenbo.hatenablog.com/entry/2018/11/30/091511 1.0 100%