def repeatTheLearningProcess(self, bestGridSearched, set):
_, bestParams = self.getBestGridSearchedModel(bestGridSearched, set)
if bestGridSearched.learnerType == 'KNN':
bestGridSearched = KNN.KNNLearner(**bestParams,
datasetNo=set.datasetNo)
elif bestGridSearched.learnerType == 'DT':
bestGridSearched = DT.DTLearner(**bestParams,
datasetNo=set.datasetNo)
elif bestGridSearched.learnerType == 'SVM':
bestGridSearched = SVM.SVMLearner(**bestParams,
datasetNo=set.datasetNo)
elif bestGridSearched.learnerType == 'Boosting':
bestGridSearched = Boosting.BoostingLearner(
**bestParams, datasetNo=set.datasetNo)
elif bestGridSearched.learnerType == 'ANN':
bestGridSearched = ANN.ANNLearner(**bestParams,
datasetNo=set.datasetNo)
self.getLearningCurve(bestGridSearched, set)
self.getComplexityCurve(bestGridSearched, set)
return bestGridSearched
