Question

我在使用管道工具和GridSearchCV时遇到了一些问题。我收到以下错误消息：“ TypeError：Pipeline的最后一步应实现fit或为字符串'passthrough'。'1'（type）不能实现。

您看到我的错误在哪里吗？

这是我的代码：

from sklearn.model_selection import GridSearchCV
from sklearn.preprocessing import PolynomialFeatures
from sklearn.linear_model import LinearRegression
from sklearn.pipeline import Pipeline


X = wage['age'][:, np.newaxis]
y = wage['wage'][:, np.newaxis]

degree = 2
model = Pipeline(steps=[('poly', PolynomialFeatures(degree)), ('linear', LinearRegression(fit_intercept=False))])

param_grid = {'poly': [1, 2, 3, 4, 5]}
cv_model = GridSearchCV(model, param_grid, scoring='r2', cv=5, n_jobs=1)
cv_model.fit(X, y)

Answer 1

问题可能出在我在param_grid中的“ poly”之后没有使用“ __”符号的事实。

使用这种表示法，它似乎可以工作：

import random
Magic_number = random.randrange(1, 100)
print(Magic_number)

guess_limit = 5
guess_counter = 0

while True:
    guess = int(input("Enter guess: "))

    if guess == Magic_number:
        print("Well done you got it!!")
        exit(0)

    elif guess < Magic_number:
        print("That number is too small, try again")

    elif guess > Magic_number:
        print("That number is too high try again")

    guess_counter += 1
    print(f"You have {guess_limit - guess_counter} tries left")

    if guess_counter == guess_limit:
        print("Game over, sorry")
        exit(0)

管道和GridSearchCV的问题

1 个答案: