def testParallelPenaltyGrid(self):
folds = 3
idx = Sampling.crossValidation(folds, self.X.shape[0])
decisionTree = DecisionTree()
bestLearner, meanErrors = decisionTree.parallelVfcv(self.X, self.y, idx)
trainX = self.X[0:40, :]
trainY = self.y[0:40]
paramDict = {}
paramDict["setMinSplit"] = decisionTree.getMinSplits()
paramDict["setMaxDepth"] = decisionTree.getMaxDepths()
idealPenalties = decisionTree.parallelPenaltyGrid(trainX, trainY, self.X, self.y, paramDict)
