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All Samples(9)  |  Call(9)  |  Derive(0)  |  Import(0)

src/m/g/mgtaxa-HEAD/MGT/DirStore.py   mgtaxa(Download)
        # of picking up old models that are not trained in this session
        rmrf(self.getFilePath(opt.modelRoot))
        jobs = app.run(**kw)
        opt.mode = "test"
        app = ClassifierApp(opt=opt)
        opt = app.getOpt() #get the missing options filled with defaults
        self.save()
        kw = kw.copy()
        kw["depend"] = jobs
        jobs = app.run(**kw)
        # of picking up old models that are not trained in this session
        rmrf(self.getFilePath(opt.modelRoot))
        return app.run(**kw)
 
 
        app = ClassifierApp(opt=opt)
        opt = app.getOpt() #get the missing options filled with defaults
        jobs = app.run(**kw)
        self.save()
        return jobs

src/m/g/mgtaxa-HEAD/MGT/CrossValidatorApp.py   mgtaxa(Download)
        dumpObj(spClOpt,spOptFile)
        kw = kw.copy()
        jobs = spApp.run(**kw)
        spClOpt.mode = "test"
        spApp = ClassifierApp(opt=spClOpt)
        kw["depend"] = jobs
        jobs = spApp.run(**kw)

src/m/g/mgtaxa-HEAD/test/py/test_ClassifierApp.py   mgtaxa(Download)
print clOpt
app = ClassifierApp(opt=clOpt)
jobs = app.run(dryRun=False)
clOpt.mode = "test"
clOpt.perfFile = "perf.pkl"
app = ClassifierApp(opt=clOpt)
jobs = app.run(dryRun=False,depend=jobs)

src/m/g/mgtaxa-HEAD/bin/supervised.py   mgtaxa(Download)
from MGT.ClassifierApp import ClassifierApp
app = ClassifierApp()
app.run()