Search - plotdata

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[Other] plotdata DL : 0: Displays raw data of figure plots in separate spreadsheet tables
Update : 2008-10-13 Size : 11.55kb Publisher : 张莹
[Other] plotdata DL : 0: Displays raw data of figure plots in separate spreadsheet tables
Update : 2025-02-19 Size : 11kb Publisher : 张莹
[Windows Develop] plotdata DL : 0: 绘散点图,x,y,z,x和y确定坐标, z确定颜色级别-Painted scatter, x, y, z, x and y determine the coordinates, z-level to determine color
Update : 2025-02-19 Size : 3.5mb Publisher : xiaozhao
[Other] PlotData DL : 0: 将内存的数据通过屏幕进行绘图，主要是折线图，在升级版中可以做各种图形或表格-plot graph on display
Update : 2025-02-19 Size : 2kb Publisher : wenjiabao
[Mathimatics-Numerical algorithms] PlotData DL : 0: 将内存的数据通过屏幕进行绘图，主要是折线图，在升级版中可以做各种图形或表格-plot graph on display
Update : 2025-02-19 Size : 2kb Publisher : xuaan7n227
[source in ebook] mlclass-ex5 DL : 0: 机器学习相关内容，基于matlab仿真，实现了线性回归分类器的功能-Files included in this exercise 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
Update : 2025-02-19 Size : 17kb Publisher : 张伟强
[Other] mlclass-ex1 DL : 0: 线性感知机，机器学习相关，基于matlab仿真-Files included in this exercise 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
Update : 2025-02-19 Size : 15kb Publisher : 张伟强
[Other] mlclass-ex2 DL : 0: 逻辑回归，机器学习相关内容，内有说明，基于matlab仿真-ex2.m- Octave script that will help step you through the exercise ex2 reg.m- Octave script for the later parts of the exercise ex2data1.txt- Training set for the rst half of the exercise ex2data2.txt- Training set for the second half of the exercise submit.m- Submission script that sends your solutions to our servers mapFeature.m- Function to generate polynomial features plotDecisionBounday.m- Function to plot classier s decision boundary [?] plotData.m- Function to plot 2D classication data [?] sigmoid.m- Sigmoid Function [?] costFunction.m- Logistic Regression Cost Function [?] predict.m- Logistic Regression Prediction Function [?] costFunctionReg.m- Regularized Logistic Regression Cost
Update : 2025-02-19 Size : 26kb Publisher : 张伟强
[Other] mlclass-ex6 DL : 0: 支持向量机，实现2或多分类，基于matlab仿真，内有说明-ex6.m- Octave script for the rst half of the exercise ex6data1.mat- Example Dataset 1 ex6data2.mat- Example Dataset 2 ex6data3.mat- Example Dataset 3 svmTrain.m- SVM rraining function svmPredict.m- SVM prediction function plotData.m- Plot 2D data visualizeBoundaryLinear.m- Plot linear boundary visualizeBoundary.m- Plot non-linear boundary linearKernel.m- Linear kernel for SVM [?] gaussianKernel.m- Gaussian kernel for SVM [?] dataset3Params.m- Parameters to use for Dataset 3 ex6 spam.m- Octave script for the second half of the exercise spamTrain.mat- Spam training set 1 spamTest.mat- Spam test set emailSample1.txt- Sample email 1 emailSample2.txt- Sample email 2 spamSample1.txt- Sample spam 1 spamSample2.txt- Sample spam 2 vocab.txt- Vocabulary list getVocabList.m- Load vocabulary list porterStemmer.m- Stemming function readFile.m- Reads a le into a character string submit.m- Submission script that sends your solutions to our servers submitWeb.m- Alternative s
Update : 2025-02-19 Size : 570kb Publisher : 张伟强
[Other] machine learning_ex1_simple DL : 0: 第二周的简单机器学习答案。。。。。。。。。。。。。(warmUpExercise.m plotData.m gradientDescent.m computeCost.m For this part of the exercise, you will need to change some parts of the code below for various experiments (e.g., changing learning rates)
Update : 2025-02-19 Size : 42kb Publisher : 11115245
[matlab] ex1 DL : 0: 机器学习联系EX1 部分代码，matlab实现(%% Machine Learning Online Class - Exercise 1: Linear Regression % Instructions % ------------ % % This file contains code that helps you get started on the % linear exercise. You will need to complete the following functions % in this exericse: % % warmUpExercise.m % plotData.m % gradientDescent.m % computeCost.m % gradientDescentMulti.m % computeCostMulti.m % featureNormalize.m % normalEqn.m % % For this exercise, you will not need to change any code in this file, % or any other files other than those mentioned above. % % x refers to the population size in 10,000s % y refers to the profit in $10,000s % %% Initialization)
Update : 2025-02-19 Size : 1kb Publisher : 学者法师