Shogun网站上的关于主流机器学习工具包的比较
Shogun网站上的关于主流机器学习工具包的比较:
http://www.shogun-toolbox.org/page/features/
created | last updated | main language | main focus | |
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shogun | 1999 | 10-2013 | C++ | General Purpose ML Package with particular focus on large scale learning; Kernel Methods; Interfaces to various languages |
weka | 1997 | 07-2013 | java | General Purpose ML Package |
kernlab | 04-2004 | 11-2013 | R | Kernel Based Classification/Dimensionality Reduction |
dlib | 2006 | 10-2013 | C++ | Portability; Correctness |
nieme | 09-2006 | 03-2009 | C++ | Linear Regression; Ranking; Classification |
orange | 06-2004 | 11-2013 | python | Visual Data Analysis |
java-ml | 08-2008 | 07-2012 | java | Feature Selection |
pyML | 08-2004 | 09-2013 | C++; python | Kernel Methods |
mlpy | 02-2008 | 03-2012 | python | Basic Algorithms |
pybrain | 10-2008 | 02-2013 | python | Reinforcement Learning |
torch7 | 01-2002 | 11-2013 | C++;lua | Neural Networks |
scikit-learn | 2007 | 08-2013 | python; cython | General Purpose with simple API and numpy / scipy idioms |
shogun
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weka
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kernlab
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dlib
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nieme
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orange
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java-ml
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pyML
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mlpy
|
pybrain
|
torch3
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scikit-learn
|
||
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General Features | Graphical User Interface | ![]() |
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One Class Classification | ![]() |
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Classification | ![]() |
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Multiclass classification | ![]() |
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Regression | ![]() |
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Structured Output Learning | ![]() |
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Pre-Processing | ![]() |
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Built-in Model Selection Strategies | ![]() |
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Visualization | ![]() |
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Test Framework | ![]() |
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Large Scale Learning | ![]() |
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Semi-supervised Learning | ![]() |
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Multitask Learning | ![]() |
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Domain Adaptation | ![]() |
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Serialization | ![]() |
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Parallelized Code | ![]() |
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Performance Measures (auROC etc) | ![]() |
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Image Processing | ![]() |
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Supported Operating Systems | Linux | ![]() |
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Windows | ![]() |
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Mac OSX | ![]() |
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Other Unix | ![]() |
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Language Bindings | Python | ![]() |
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R | ![]() |
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Matlab | ![]() |
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Octave | ![]() |
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C/C++ | ![]() |
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Command Line | ![]() |
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Java | ![]() |
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C# | ![]() |
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Lua | ![]() |
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Ruby | ![]() |
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SVM Solvers | SVMLight | ![]() |
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LibSVM | ![]() |
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SVM Ocas | ![]() |
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LibLinear | ![]() |
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BMRM | ![]() |
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LaRank | ![]() |
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SVMPegasos | ![]() |
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SVM SGD | ![]() |
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other | ![]() |
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Regression | Kernel Ridge Regression | ![]() |
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Support Vector Regression | ![]() |
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Gaussian Processes | ![]() |
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Relevance Vector Machine | ![]() |
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Multiple Kernel Learning | MKL | ![]() |
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q-norm MKL | ![]() |
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multiclass MKL | ![]() |
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Classifiers | Naive Bayes | ![]() |
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Bayesian Networks | ![]() |
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Multi Layer Perceptron | ![]() |
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RBF Networks | ![]() |
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Logistic Regression | ![]() |
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LASSO | ![]() |
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Decision Trees | ![]() |
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k-NN | ![]() |
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Gaussian Process Classification | ![]() |
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Linear Classifiers | Linear Programming Machine | ![]() |
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LDA | ![]() |
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Distributions | Markov Chains | ![]() |
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Hidden Markov Models | ![]() |
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Dimension Reduction | PCA | ![]() |
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Kernel PCA | ![]() |
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Isomap | ![]() |
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Multidimensional scaling | ![]() |
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Sammon mapping | ![]() |
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Locally Linear Embedding | ![]() |
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Diffusion Map | ![]() |
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Local Tangent Space Alignment | ![]() |
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Laplacian Eigenmaps | ![]() |
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Barnes-Hut t-SNE | ![]() |
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Independent Component Analysis | FIXME | ![]() |
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Kernels | Linear | ![]() |
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Gaussian | ![]() |
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Polynomial | ![]() |
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String Kernels | ![]() |
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Sigmoid Kernel | ![]() |
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Kernel Normalizer | ![]() |
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Feature Selection | Forward | ![]() |
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Wrapper methods | ![]() |
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Recursive Feature Selection | ![]() |
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Missing Features | Mean value imputation | ![]() |
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EM-based/model based imputation | ![]() |
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Clustering | Hierarchical Clustering | ![]() |
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k-means | ![]() |
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Optimization | BFGS | ![]() |
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conjugate gradient | ![]() |
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gradient descent | ![]() |
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bindings to CPLEX | ![]() |
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bindings to Mosek | ![]() |
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bindings to other solver | ![]() |
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Structural Output Learning | Label Sequence Learning | ![]() |
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Factor Graph Learning | ![]() |
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SO-SGD | ![]() |
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Latent SO-SVM | ![]() |
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Supported File Formats | Binary | ![]() |
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Arff | ![]() |
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HDF5 | ![]() |
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CSV | ![]() |
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libSVM/ SVMLight format | ![]() |
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Excel | ![]() |
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Protobuf | ![]() |
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Supported Data Types | Sparse Data Representation | ![]() |
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Dense Matrices | ![]() |
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Strings | ![]() |
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Support for native (e.g. C) types (char, signed and unsigned int8, int16, int32, int64, float, double, long double) | ![]() |
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