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.

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This is perhaps the most painful thing ever with python, but totally doable (better than a .mex file with matlab -- eh Guillermo?)

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Christopher Hartl 2012-10-17 23:52:47 -04:00

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