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
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 May 8, 2017, 1:01 p.m.