EpistasisLab / scikit-mdr
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Merge pull request #24 from EpistasisLab/development

Update license statement to include authors

44 of 82 branches covered (53.66%)

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Recent builds

Builds Branch Commit Type Ran Committer Via Coverage
71 master Merge pull request #24 from EpistasisLab/development Update license statement to include authors push web-flow travis-ci pending completion  
68 master Rework CMDR so it can be pickled push rhiever travis-ci pending completion  
67 master Merge pull request #21 from EpistasisLab/development Rework MDR into separate classes push web-flow travis-ci pending completion  
59 master Merge pull request #20 from EpistasisLab/development Add Classifier/RegressorMixin for TPOT and sklearn compatibility push web-flow travis-ci pending completion  
56 master Merge pull request #19 from EpistasisLab/development Add 3-way information gain to utils push web-flow travis-ci pending completion  
52 master Merge pull request #17 from EpistasisLab/development Add MDR utilities module and improve MDR model code push web-flow travis-ci pending completion  
51 master Increment version for release Pull #17 web-flow travis-ci pending completion  
33 master Fix unit tests for recent transform change The transform methods now return a matrix instead of a 1D array. Need to update the tests to accommodate that change. push rhiever travis-ci pending completion  
30 master Ignore data files push rhiever travis-ci pending completion  
29 master Use absolute value for CMDR scoring function The t-statistic can be negative, and we don’t want to treat a large negative t-value as worse than a small positive t-value. Thus we use the absolute t-value because the sign does not matter in this case. push rhiever travis-ci pending completion  
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