signate お弁当の需要予測のチュートリアルについて

Question

kf = KFold(n_splits=5,random_state=777)
tr = dat[dat["t"]==1][cols]

trains = []
tests = []
for train_index, test_index in kf.split(tr):
tr.loc[train_index,"tt"] = 1
tr.loc[test_index,"tt"] = 0
tr["tt"] = tr["tt"].astype(np.int)
tmp = pd.get_dummies(tr)

trainX = tmp[tmp["tt"]==1]
del trainX["tt"]
testX = tmp[tmp["tt"]==0]
del testX["tt"]
y_train = tmp[tmp["tt"]==1]["y"]
y_test = tmp[tmp["tt"]==0]["y"]

model1, model2 = learning(trainX, y_train)

pred_train = model1.predict(trainX["days"].values.reshape(-1,1)) + model2.predict(trainX.iloc[:, ~trainX.columns.str.match("y")])
pred_test = model1.predict(testX["days"].values.reshape(-1,1)) + model2.predict(testX.iloc[:, ~testX.columns.str.match("y")])

print("TRAIN:",MSE(y_train,pred_train)**0.5, "VARIDATE",MSE(y_test, pred_test)**0.5)
trains.append(MSE(y_train,pred_train)**0.5)
tests.append(MSE(y_test, pred_test)**0.5)

print("AVG")
print(np.array(trains).mean(), np.array(tests).mean())

お弁当の需要予測ののチュートリアルのここの部分を入力すると以下のエラーが出て来ました。

ValueError Traceback (most recent call last)
/tmp/ipykernel_13294/285673253.py in <module>
----> 1 kf = KFold(n_splits=5,random_state=777)
2 tr = dat[dat["t"]==1][cols]
3
4 trains = []
5 tests = []

~/anaconda3/lib/python3.8/site-packages/sklearn/utils/validation.py in inner_f(*args, **kwargs)
61 extra_args = len(args) - len(all_args)
62 if extra_args <= 0:
---> 63 return f(*args, **kwargs)
64
65 # extra_args > 0

~/anaconda3/lib/python3.8/site-packages/sklearn/model_selection/_split.py in init(self, n_splits, shuffle, random_state)
426 def init(self, n_splits=5, *, shuffle=False,
427 random_state=None):
--> 428 super().init(n_splits=n_splits, shuffle=shuffle,
429 random_state=random_state)
430

~/anaconda3/lib/python3.8/site-packages/sklearn/utils/validation.py in inner_f(*args, **kwargs)
61 extra_args = len(args) - len(all_args)
62 if extra_args <= 0:
---> 63 return f(*args, **kwargs)
64
65 # extra_args > 0

~/anaconda3/lib/python3.8/site-packages/sklearn/model_selection/_split.py in init(self, n_splits, shuffle, random_state)
288
289 if not shuffle and random_state is not None: # None is the default
--> 290 raise ValueError(
291 'Setting a random_state has no effect since shuffle is '
292 'False. You should leave '

ValueError: Setting a random_state has no effect since shuffle is False. You should leave random_state to its default (None), or set shuffle=True.

Comments

[y_waiwai]

で、しつもんはなんでしょうか

Answer 1

ValueError: Setting a random_state has no effect since shuffle is False. You should leave random_state to its default (None), or set shuffle=True.

を翻訳すると、

ValueError：シャッフルはFalseであるため、random_stateを設定しても効果はありません。 random_stateをデフォルト（None）のままにするか、shuffle = Trueに設定する必要があります。

です。

kf = KFold(n_splits=5,random_state=777)

を

kf = KFold(n_splits=5)

または

kf = KFold(n_splits=5,random_state=777, shuffle = True)

に変更しろという意味です。