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-learn	mlpy	MDP	PyBrain	Theano	MILK	NLTK	Gensim	Orange
AdaBoost	yes					yes
C4.5									yes
Canonical Correlation Analysis	yes		yes
Cross Validation	yes	yes				yes
DBSCAN	yes
Decision Trees	yes	yes	yes						yes
Deep Belief Networks				yes
Dictionary Learning	yes
Dynamic Time Warping (yes)		yes
Elastic Net	yes	yes	yes
Evolution Strategies (ES)				yes
Fast ICA	yes		yes
Fast Principal Component Analysis (Fast PCA)		yes
Gaussian Mixture Model	yes		yes
Gaussian Naive Bayes			yes
Genetic Algorithm				yes
Golub Classifier		yes
GPU computation					yes
Gradient Based Optimization	yes				yes
Gradient Boosting Regression			yes
Grid Search	yes
Hidden Markov Model with Gaussian Mixture Emissions (HMM GMM)	yes		yes
Hierarchical Clustering (Ward…)	yes	yes	yes						yes
Hierarchical Dirichlet Application (HDP)								yes
ICA	yes		yes
Isotonic Regression	yes
KDTree	yes
Kernal Density	yes
Kernel Fisher Discriminant		yes
Kernel PCA		yes	yes
Kernel Ridg Regression		yes
k-Means	yes	yes		yes		yes			yes
k-NN	yes	yes	yes						yes
Kohonen (SOM)				yes					yes
Label Spreading	yes		yes
Largest Common Subsequence (LCS)		yes
Lasso	yes		yes
Latent Dirichlet Application (LDA)								yes
Least Angle Regression (LARS)	yes	yes
Linear Discriminant Analysis (LDA)	yes	yes	yes
Linear Regression	yes	yes	yes	yes					yes
Logisitic Regression	yes	yes	yes						yes
Naive Bayesian Learner	yes								yes
Natural Language Processing (NLP)							yes
Neural Network (NN)	yes	yes	yes	yes
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 Classification	yes
Passive Aggressive Regression	yes
Pipeline	yes		yes
Principal Component Analysis (PCA)	yes	yes	yes	yes					yes
Probabilistic Principal Component Analysis (pPCA)	yes		yes	yes
p-Value	yes		yes
Quadratic Discriminant Analysis (QDA)	yes		yes
Random Forests	yes		yes			yes
Recurrent Neural Network				yes
Regression Tree			yes						yes
Reinforcement Learning				yes
Ridge Regression	yes	yes	yes
ROC / Precision / Recall	yes								yes
SARSA				yes
Singular Value Decomposition (SVD)	yes		yes
Sparse PCA	yes		yes
Spectral BiClustering	yes
Spectral Clustering	yes
Spectral Coclustering	yes
Spectral Regression Discriminant Analysis		yes
Support Vector Classificiation (SVC)	yes	yes	yes
Support Vector Regression (SVR)	yes		yes
SupportVector Machine (SVM)	yes	yes	yes	yes		yes
TF-IDF	yes		yes
Wavelets		yes