python 几个机器学习的库的算法比较。发现自已只懂其中几个。

scikit-learnmlpyMDPPyBrainTheanoMILKNLTKGensimOrangeAdaBoostyes    yes   C4.5        yesCanonical Correlation Analysisyes yes      Cross Validationyesyes   yes   DBSCANyes        Decision Treesyesyesyes     yesDeep Belief Networks   yes     Dictionary Learningyes        Dynamic Time Warping (yes) yes       Elastic Netyesyesyes      Evolution Strategies (ES)   yes     Fast ICAyes yes      Fast Principal Component Analysis (Fast PCA) yes       Gaussian Mixture Modelyes yes      Gaussian Naive Bayes  yes      Genetic Algorithm   yes     Golub Classifier yes       GPU computation    yes    Gradient Based Optimizationyes   yes    Gradient Boosting Regression  yes      Grid Searchyes        Hidden Markov Model with Gaussian Mixture Emissions (HMM GMM)yes yes      Hierarchical Clustering (Ward…)yesyesyes     yesHierarchical Dirichlet Application (HDP)       yes ICAyes yes      Isotonic Regressionyes        KDTreeyes        Kernal Densityyes        Kernel Fisher Discriminant yes       Kernel PCA yesyes      Kernel Ridg Regression yes       k-Meansyesyes yes yes  yesk-NNyesyesyes     yesKohonen (SOM)   yes    yesLabel Spreadingyes yes      Largest Common Subsequence (LCS) yes       Lassoyes yes      Latent Dirichlet Application (LDA)       yes Least Angle Regression (LARS)yesyes       Linear Discriminant Analysis (LDA)yesyesyes      Linear Regressionyesyesyesyes    yesLogisitic Regressionyesyesyes     yesNaive Bayesian Learneryes       yesNatural Language Processing (NLP)      yes  Neural Network (NN)yesyesyesyes     Non-Negative matrix factorization by Projected Gradient (NMF)yes yes      Partial Least Square (PLS)  yes      Partial Least Square (SVD)  yes      Particle Swarm Optimization (PSO)   yes     Passive Aggressive Classificationyes        Passive Aggressive Regressionyes        Pipelineyes yes      Principal Component Analysis (PCA)yesyesyesyes    yesProbabilistic Principal Component Analysis (pPCA)yes yesyes     p-Valueyes yes      Quadratic Discriminant Analysis (QDA)yes yes      Random Forestsyes yes  yes   Recurrent Neural Network   yes     Regression Tree  yes     yesReinforcement Learning   yes     Ridge Regressionyesyesyes      ROC / Precision / Recallyes       yesSARSA   yes     Singular Value Decomposition (SVD)yes yes      Sparse PCAyes yes      Spectral BiClusteringyes        Spectral Clusteringyes        Spectral Coclusteringyes        Spectral Regression Discriminant Analysis yes       Support Vector Classificiation (SVC)yesyesyes      Support Vector Regression (SVR)yes yes      SupportVector Machine (SVM)yesyesyesyes yes   TF-IDFyes yes      Wavelets yes