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线性回归器,基于MATLAB仿真

资 源 简 介

ex1.m - Octave script that will help step you through the exercise ex1 multi.m - Octave script for the later parts of the exercise ex1data1.txt - Dataset for linear regression with one variable ex1data2.txt - Dataset for linear regression with multiple variables submit.m - Submission script that sends your solutions to our servers [?] warmUpExercise.m - Simple example function in Octave [?] plotData.m - Function to display the dataset [?] computeCost.m - Function to compute the cost of linear regression [?] gradientDescent.m - Function to run gradient descent [y] computeCostMulti.m - Cost function for multiple variables [y] gradientDescentMulti.m - Gradient descent for multiple variables [y] featureNormalize.m - Function to normalize features [y] normalEqn.m - Function to compute the normal equations

文 件 列 表

mlclass-ex1
computeCost.m
computeCostMulti.m
ex1.m
ex1data1.txt
ex1data2.txt
ex1_multi.m
featureNormalize.m
gradientDescent.m
gradientDescentMulti.m
ml_login_data.mat
normalEqn.m
plotData.m
submit.m
submitWeb.m
warmUpExercise.m

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