gatk3的最后一个经典版本3.8
 
 
 
 
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Christopher Hartl ce70230a2e Evaluating the logistic regression given a large matrix of predictors was a killer roadblock (>99% runtime). NumPy's applyOverDimension didn't cut it. Instead: write the appropriate function as a c extension and call into it.
This is perhaps the most painful thing ever with python, but totally doable (better than a .mex file with matlab -- eh Guillermo?)
2012-10-17 23:52:47 -04:00
licensing Revert unintentional license change 2012-08-09 17:10:47 -04:00
protected/java Updating missed integration test. 2012-10-15 22:31:52 -04:00
public Updating missed integration test. 2012-10-15 22:31:52 -04:00
settings Updating cofoja to the latest version 2012-08-09 16:36:18 -04:00
.gitignore a few more useful git ignores 2012-09-01 11:08:36 -04:00
build.xml Proper error handling in NanoScheduler 2012-09-19 17:03:13 -04:00
ivy.xml Updating cofoja to the latest version 2012-08-09 16:36:18 -04:00