API for GuangchuangYu/mlass
Machine Learning Algorithms

Global functions
"[", Man page
"[",kMeansResult-method Man page
"[",svmResult-method Man page
DataSet Man page
Hessian Source code
J Source code
[,kMeansResult,character-method Man page
[,svmResult,character-method Man page
computeCentroids Source code
computeCentroids_cpp Source code
computeCost Man page Source code
distance Source code
ex1data1 Man page
ex2data1 Man page
ex6data1 Man page
ex6data2 Man page
ex7data2 Man page
featureNormalize Source code
findClosestCentroids Source code
findClosestCentroids_cpp Source code
g Source code
gaussianKernel Source code
getClosest Source code
getDistance Source code
grad Source code
gradDescent Source code
h Source code
hcluster Man page Source code
kMeans Man page Source code
kMeansInitCentroids Source code
kMeansResult-class Man page
linear.mapFeature Source code
linearRegression Man page Source code
linearRegressionResult-class Man page
linearRegressionResult-method Man page
linkage Source code
logisticPredict Source code
logisticRegression Man page Source code
logisticRegressionResult-class Man page
logisticRegressionResult-method Man page
mapFeature Source code
meshgrid Source code
mlass Man page
mlass-package Man page
normalEqn Source code
plot Man page
plot, Man page
plot,kMeansResult Man page
plot,kMeansResult-method Man page
plot,linearRegressionResult,ANY-method Man page
plot,logisticRegressionResult,ANY-method Man page
plot,svmResult Man page
plot,svmResult-method Man page
plot.hcluster Source code
svmPredict Source code
svmResult-class Man page
svmTrain Man page Source code
GuangchuangYu/mlass documentation built on Nov. 25, 2024, 4:08 a.m.