Webb# doubling the width of markers x = [0,2,4,6,8,10] y = [0]*len (x) s = [20*4**n for n in range (len (x))] plt.scatter (x,y,s=s) plt.show () gives Notice how the size increases very quickly. If instead we have # doubling the area of markers x = [0,2,4,6,8,10] y = [0]*len (x) s = [20*2**n for n in range (len (x))] plt.scatter (x,y,s=s) plt.show () Webbimport matplotlib.pyplot as plt import numpy as np plt. style. use ('_mpl-gallery') # make data x = np. linspace (0, 10, 100) y = 4 + 2 * np. sin (2 * x) # plot fig, ax = plt. subplots ax. plot (x, y, linewidth = 2.0) ax. set (xlim = (0, 8), xticks = np. arange (1, 8), ylim = (0, 8), …
matlab线性回归交叉验证 - CSDN
Webb10 aug. 2024 · gives the figure axes labels of population and profit. figure; % 打开一个空的图片窗口 % 调用 matlab 描点函数 在 figure 打开的窗口上描点 plot(x, y, 'rx', 'MarkerSize', 10); % rx 红十字,10 设置 MarkerSize % 设置 x, y 轴标签 ylabel('Profit in $10,000s'); xlabel('Population of City in 10,000s'); end Figure 1: Scatter plot of training data Part 3: … Webb17 juli 2024 · ‘MarkerSize’,10是每一个x的大小 下面给出官方文档的摘要加解析 plot (x, y, fmt) 1.如果x,y是标量,那么就画出一个点 2.如果x,y都是向量,那么就画出对应的点 (x,y) 3.如果x是向量,y是矩阵,则首选是把y分成一个一个列yi,然后画出对应的 (x,yi) 4.如果x是 … himalayan kitchen durango lunch buffet hours
吴恩达机器学习(十三)—— ex5:Regularized ... - 51CTO
Webb29 jan. 2024 · % Load from ex5data1: % You will have X, y, Xval, yval, Xtest, ytest in your environment load ('ex5data1.mat'); % m = Number of examples m = size (X, 1); % Plot training data figure; plot (X, y, 'rx', 'MarkerSize', 10, 'LineWidth', 1.5); xlabel ('Change in … Webb11 sep. 2024 · lambda_ = 0; theta = trainLinearReg (X_poly, y, lambda_) # Plot training data and fit plt. figure plt. plot (X, y, 'rx', markersize = 10, markeredgewidth = 1.5) plotFit (min (X), max (X), mu, sigma, theta, p); plt. xlabel ('Change in water level (x)') plt. ylabel ('Water … Webbplot ( X, y, 'rx', 'MarkerSize', 10, 'LineWidth', 1.5 ); plotFit ( min ( X ), max ( X ), mu, sigma, theta, p ); xlabel ( 'Change in water level (x)' ); ylabel ( 'Water flowing out of the dam (y)' ); title ( sprintf ( 'Polynomial Regression Fit (lambda = %f)', lambda )); figure ( 2 ); [ … himalayan kittens for free