def create_features(self):
folds = pd.read_feather('../folds/03_stkfold.feather')
train['position_education'] = train['position'].astype(str) + '_' + train['education'].astype(str)
test['position_education'] = test['position'].astype(str) + '_' + test['education'].astype(str)
tr_feat, te_feat = target_encoding(train, test, 'salary', 'position_education', folds)
self.train[self.__class__.__name__] = tr_feat
self.test[self.__class__.__name__] = te_feat
def create_features(self):
tr_feat, te_feat = target_encoding(train, test, 'meter_reading',
'primary_use', folds2)
self.train[self.__class__.__name__] = np.log1p(tr_feat)
self.test[self.__class__.__name__] = np.log1p(te_feat)
def create_features(self):
folds = pd.read_feather('../folds/03_stkfold.feather')
tr_feat, te_feat = target_encoding(train, test, 'salary', 'sex', folds)
self.train[self.__class__.__name__] = tr_feat
self.test[self.__class__.__name__] = te_feat
def create_features(self):
tr_feat, te_feat = target_encoding(train, test, 'meter_reading',
'site_id', folds1)
self.train[self.__class__.__name__] = tr_feat
self.test[self.__class__.__name__] = te_feat
