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comparison doc/v2_planning/existing_python_ml_libraries.txt @ 1331:0541e7d6e916

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merge
author gdesjardins
date Thu, 14 Oct 2010 23:55:55 -0400
parents f5e9c00a67d7
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1330:3efd0effb2a7 1331:0541e7d6e916
94 package could provide a set of GPL licensed plugins developed by 94 package could provide a set of GPL licensed plugins developed by
95 wrapping GPL'ed code. 95 wrapping GPL'ed code.
96 96
97 3. Recommendations for implementations to wrap 97 3. Recommendations for implementations to wrap
98 98
99 shogun: 99 * shogun:
100 large scale kernel learning (mostly svms). this wraps other 100 * large scale kernel learning (mostly svms). this wraps other
101 libraries we should definitely be interested in, such as libsvm 101 libraries we should definitely be interested in, such as libsvm
102 (because it is well-established) and others that get state of the art 102 (because it is well-established) and others that get state of the art
103 performance or are good for extremely large datasets, etc. 103 performance or are good for extremely large datasets, etc.
104 milk: 104 * milk:
105 k-means 105 * k-means
106 svm's with arbitrary python types for kernel arguments 106 * svm's with arbitrary python types for kernel arguments
107 pybrain: 107 * pybrain:
108 lstm 108 * lstm
109 mlpy: 109 * mlpy:
110 feature selection 110 * feature selection
111 mdp: 111 * mdp:
112 ica 112 * ica
113 LLE 113 * LLE
114 scikit.learn: 114 * scikit.learn:
115 lasso 115 * lasso
116 nearest neighbor 116 * nearest neighbor
117 isomap 117 * isomap
118 various metrics 118 * various metrics
119 mean shift 119 * mean shift
120 cross validation 120 * cross validation
121 LDA 121 * LDA
122 HMMs 122 * HMMs
123 Yet Another Python Graph Library: 123 * Yet Another Python Graph Library:
124 graph similarity functions that could be useful if we want to 124 * graph similarity functions that could be useful if we want to
125 learn with graphs as data 125 learn with graphs as data
126 126