Name | Date | Size | #Lines | LOC | ||
---|---|---|---|---|---|---|
.. | 03-May-2022 | - | ||||
agrum/ | H | 08-Sep-2021 | - | 106 | 54 | |
sphinx/ | H | 03-May-2022 | - | 6,509 | 5,531 | |
Makefile | H A D | 08-Sep-2021 | 522 | 13 | 6 | |
Makefile.local | H A D | 08-Sep-2021 | 347 | 10 | 5 | |
Makefile.win | H A D | 08-Sep-2021 | 252 | 6 | 4 | |
README.rst | H A D | 08-Sep-2021 | 329 | 13 | 10 | |
doc_ApproximationScheme.i | H A D | 08-Sep-2021 | 2.6 KiB | 128 | 107 | |
doc_Arc.i | H A D | 08-Sep-2021 | 920 | 62 | 50 | |
doc_BNDatabaseGenerator.i | H A D | 08-Sep-2021 | 218 | 10 | 8 | |
doc_BNGenerator.i | H A D | 08-Sep-2021 | 629 | 34 | 28 | |
doc_BNLearner.i | H A D | 08-Sep-2021 | 9.9 KiB | 494 | 398 | |
doc_BNdistance.i | H A D | 08-Sep-2021 | 153 | 8 | 7 | |
doc_BayesNet.i | H A D | 08-Sep-2021 | 14.5 KiB | 797 | 654 | |
doc_BayesNetFragment.i | H A D | 08-Sep-2021 | 3.2 KiB | 146 | 117 | |
doc_CNInference.i | H A D | 08-Sep-2021 | 2.8 KiB | 137 | 111 | |
doc_CNLoopyPropagation.i | H A D | 08-Sep-2021 | 255 | 8 | 7 | |
doc_CNMonteCarloSampling.i | H A D | 08-Sep-2021 | 266 | 8 | 7 | |
doc_CliqueGraph.i | H A D | 08-Sep-2021 | 3 KiB | 184 | 154 | |
doc_CredalNet.i | H A D | 08-Sep-2021 | 10.3 KiB | 418 | 339 | |
doc_DAG.i | H A D | 08-Sep-2021 | 528 | 31 | 25 | |
doc_DAGmodel.i | H A D | 08-Sep-2021 | 3.3 KiB | 221 | 186 | |
doc_DiGraph.i | H A D | 08-Sep-2021 | 3.8 KiB | 267 | 221 | |
doc_DiscreteVariable.i | H A D | 08-Sep-2021 | 2.2 KiB | 146 | 124 | |
doc_DiscretizedVariable.i | H A D | 08-Sep-2021 | 2 KiB | 108 | 91 | |
doc_Edge.i | H A D | 08-Sep-2021 | 798 | 46 | 36 | |
doc_EssentialGraph.i | H A D | 08-Sep-2021 | 2.1 KiB | 136 | 115 | |
doc_ExactBNdistance.i | H A D | 08-Sep-2021 | 603 | 22 | 18 | |
doc_GenericInference.i | H A D | 08-Sep-2021 | 13 KiB | 665 | 561 | |
doc_GenericMNInference.i | H A D | 08-Sep-2021 | 12.3 KiB | 655 | 550 | |
doc_GibbsBNdistance.i | H A D | 08-Sep-2021 | 1.1 KiB | 52 | 43 | |
doc_GibbsSampling.i | H A D | 08-Sep-2021 | 218 | 8 | 7 | |
doc_GumException.i | H A D | 08-Sep-2021 | 282 | 23 | 21 | |
doc_IApproximationSchemeConfiguration.i | H A D | 08-Sep-2021 | 2.8 KiB | 176 | 150 | |
doc_IBayesNet.i | H A D | 08-Sep-2021 | 3.1 KiB | 194 | 164 | |
doc_IDGenerator.i | H A D | 08-Sep-2021 | 617 | 30 | 26 | |
doc_ImportanceSampling.i | H A D | 08-Sep-2021 | 238 | 8 | 7 | |
doc_InfluenceDiagram.i | H A D | 08-Sep-2021 | 9.7 KiB | 544 | 448 | |
doc_Instantiation.i | H A D | 08-Sep-2021 | 9.4 KiB | 476 | 387 | |
doc_JunctionTreeGenerator.i | H A D | 08-Sep-2021 | 1.9 KiB | 79 | 60 | |
doc_LabelizedVariable.i | H A D | 08-Sep-2021 | 2.2 KiB | 95 | 82 | |
doc_LazyPropagation.i | H A D | 08-Sep-2021 | 194 | 8 | 7 | |
doc_LoopyBeliefPropagation.i | H A D | 08-Sep-2021 | 251 | 8 | 7 | |
doc_LoopyGibbsSampling.i | H A D | 08-Sep-2021 | 269 | 8 | 7 | |
doc_LoopyImportanceSampling.i | H A D | 08-Sep-2021 | 289 | 8 | 7 | |
doc_LoopyMonteCarloSampling.i | H A D | 08-Sep-2021 | 290 | 8 | 7 | |
doc_LoopyWeightedSampling.i | H A D | 08-Sep-2021 | 281 | 8 | 7 | |
doc_MarkovBlanket.i | H A D | 08-Sep-2021 | 1.6 KiB | 110 | 94 | |
doc_MarkovNet.i | H A D | 08-Sep-2021 | 4.5 KiB | 232 | 192 | |
doc_MixedGraph.i | H A D | 08-Sep-2021 | 4.8 KiB | 309 | 252 | |
doc_MonteCarloSampling.i | H A D | 08-Sep-2021 | 228 | 8 | 7 | |
doc_PRMexplorer.i | H A D | 08-Sep-2021 | 6.4 KiB | 470 | 393 | |
doc_Potential.i | H A D | 08-Sep-2021 | 9.7 KiB | 574 | 469 | |
doc_PythonApproximationListener.i | H A D | 08-Sep-2021 | 388 | 23 | 21 | |
doc_PythonBNListener.i | H A D | 08-Sep-2021 | 252 | 19 | 12 | |
doc_PythonLoadListener.i | H A D | 08-Sep-2021 | 64 | 4 | 3 | |
doc_RangeVariable.i | H A D | 08-Sep-2021 | 2.5 KiB | 135 | 113 | |
doc_ShaferShenoyInference.i | H A D | 08-Sep-2021 | 221 | 8 | 7 | |
doc_ShaferShenoyLIMIDInference.i | H A D | 08-Sep-2021 | 2.2 KiB | 89 | 72 | |
doc_ShaferShenoyMNInference.i | H A D | 08-Sep-2021 | 241 | 8 | 7 | |
doc_StructuralComparator.i | H A D | 08-Sep-2021 | 1.4 KiB | 73 | 59 | |
doc_SyntaxError.i | H A D | 08-Sep-2021 | 214 | 15 | 14 | |
doc_UndiGraph.i | H A D | 08-Sep-2021 | 3.5 KiB | 240 | 196 | |
doc_Variable.i | H A D | 08-Sep-2021 | 741 | 50 | 42 | |
doc_VariableElimination.i | H A D | 08-Sep-2021 | 231 | 8 | 7 | |
doc_WeightedSampling.i | H A D | 08-Sep-2021 | 219 | 8 | 7 | |
doc_miscellaneous.i | H A D | 08-Sep-2021 | 2 KiB | 135 | 117 | |
docs.i | H A D | 08-Sep-2021 | 1.9 KiB | 79 | 60 |
README.rst
1For Windows 2=========== 3 4 - install conda 5 - conda install sphinx swig make(?) 6 - git clone [aGrUM@gitlab] 7 - git checkout documentation/swigDoc 8 9How to document 10=============== 11 http://www.sphinx-doc.org/en/stable/ext/example_numpy.html#example-numpy 12 https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt 13