def crossVal(self,param,idParam,**kw):
opt = self.opt
cvDir = self.getCvDirName(idParam)
rmdir(cvDir)
makedir(cvDir)
cvClOpt = copy(self.clOpt)
for parName in param.dtype.names:
parVal = param[parName]
setattr(cvClOpt,parName,parVal.item()) #convert numpy scalar to python built-in type
cvOpt = Struct(clOpt=cvClOpt)
cvOpt.predFile = pjoin(cvDir,"pred.pkl")
cvOpt.perfFile = pjoin(cvDir,"perf.pkl")
cvOpt.mode = "scatter"
cvOpt.runMode = opt.runMode
cvOpt.cwd = cvDir
#that just saves a copy for us - App will create its own when it
#submits a batch job (unique and slightly modified)
dumpObj(cvOpt,self.getCvOptFileName(idParam))
cvApp = CrossValidatorApp(opt=cvOpt)
return cvApp.run(**kw)
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#
# See COPYING file distributed along with the MGTAXA package for the
# copyright and license terms.
#
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from MGT.Common import *
from MGT.CrossValidatorApp import CrossValidatorApp
from MGT.ClassifierApp import ClassifierApp
def makeClOpt():
o,a = ClassifierApp.defaultOptions()
o.C = 0.03
o.inFeat = [os.path.abspath("usps-train.libsvm"),os.path.abspath("usps-test.libsvm")]
o.labels = [ lf+".idlab" for lf in o.inFeat ]
return o
clOpt = makeClOpt()
print clOpt
o = Options()
o.clOpt = clOpt
o.mode = "scatter"
o.runMode = "batch"
app = CrossValidatorApp(**o.asDict())
app.run()