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synopsisPages
mattbdunham edited this page Aug 26, 2010
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- summary Synopses of all PMTK3 functions
This page lists the folders within PMTK. Click on the link to see the list of files in that folder, with a brief description. Click on the file to see its source code, including comments on how to use it.
* [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/Algorithms.html imputation] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/Algorithms.html inference] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/Algorithms.html kmeans] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/Algorithms.html mcmc] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/Algorithms.html optimization] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/Algorithms.html variableSelection]
* [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html beta] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html betaBinomial] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html binomial] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html chi2] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html dirichlet] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html discrete] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html gamma] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html gauss] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html gaussInvWishart] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html invChi2] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html invGamma] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html invWishart] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html laplace] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html markov] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html multinomial] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html pareto] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html poisson] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html student] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html sub] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html uniform] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/BasicModels.html wishart]
* [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/GraphicalModels.html crf2] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/GraphicalModels.html dgm] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/GraphicalModels.html dgmSeq] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/GraphicalModels.html ggm] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/GraphicalModels.html mrf] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/GraphicalModels.html mrf2] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/GraphicalModels.html sub] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/GraphicalModels.html tree]
* [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/LatentVariableModels.html hmm] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/LatentVariableModels.html lds] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/LatentVariableModels.html mixDiscrete] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/LatentVariableModels.html mixGauss] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/LatentVariableModels.html mixGaussDiscrete] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/LatentVariableModels.html mixStudent] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/LatentVariableModels.html ppca] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/LatentVariableModels.html sub]
* [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/SupervisedModels.html discrimAnalysis] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/SupervisedModels.html fisherLda] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/SupervisedModels.html generativeClassifier] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/SupervisedModels.html knn] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/SupervisedModels.html linearRegression] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/SupervisedModels.html logisticRegression] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/SupervisedModels.html mlpClassif] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/SupervisedModels.html mlpRegress] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/SupervisedModels.html naiveBayes] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/SupervisedModels.html probitRegression] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/SupervisedModels.html rvm] * [http://pmtk3.googlecode.com/svn/trunk/docs/synopsis/SupervisedModels.html svm]