def create_features(self):
tmp_train, tmp_test = label_encoder(train, test,
"transaction_circumstances")
self.train['transaction_circumstances'] = tmp_train[
"transaction_circumstances"]
self.test['transaction_circumstances'] = tmp_test[
"transaction_circumstances"]
def create_features(self):
tmp_train, tmp_test = label_encoder(train, test, "transaction")
self.train['transaction'] = tmp_train["transaction"]
self.test['transaction'] = tmp_test["transaction"]
def create_features(self):
tmp_train, tmp_test = label_encoder(train, test, "refurbishment")
self.train['refurbishment'] = tmp_train["refurbishment"]
self.test['refurbishment'] = tmp_test["refurbishment"]
def create_features(self):
tmp_train, tmp_test = label_encoder(train, test, "concept")
self.train['concept'] = tmp_train["concept"]
self.test['concept'] = tmp_test["concept"]
def create_features(self):
tmp_train, tmp_test = label_encoder(train, test, "city_planning")
self.train['city_planning'] = tmp_train["city_planning"]
self.test['city_planning'] = tmp_test["city_planning"]
def create_features(self):
tmp_train, tmp_test = label_encoder(train, test, "future_purpose_use")
self.train['future_purpose_use'] = tmp_train["future_purpose_use"]
self.test['future_purpose_use'] = tmp_test["future_purpose_use"]
def create_features(self):
tmp_train, tmp_test = label_encoder(train, test, "use")
self.train['use'] = tmp_train["use"]
self.test['use'] = tmp_test["use"]
def create_features(self):
tmp_train, tmp_test = label_encoder(train, test, "nearest_station")
self.train['nearest_station'] = tmp_train["nearest_station"]
self.test['nearest_station'] = tmp_test["nearest_station"]
def create_features(self):
tmp_train, tmp_test = label_encoder(train, test, "district")
self.train['district'] = tmp_train["district"]
self.test['district'] = tmp_test["district"]
def create_features(self):
tmp_train, tmp_test = label_encoder(train, test, "prefectures")
self.train['prefectures'] = tmp_train["prefectures"]
self.test['prefectures'] = tmp_test["prefectures"]