ModuleNotFoundError：'scikit_keras'模块缺失问题求助

我的代码 #

from sklearn.neural_network import MLPRegressor
from sklearn.preprocessing import RobustScaler
import pandas as pd
import yfinance as yf
import numpy as np
from sklearn.metrics import mean_squared_error, r2_score, mean_absolute_error, median_absolute_error
from sklearn.pipeline import Pipeline
from sklearn.impute import  SimpleImputer
import matplotlib.pyplot as plt
from sklearn.model_selection import TimeSeriesSplit, StratifiedKFold, KFold, train_test_split, cross_val_score, GridSearchCV, ShuffleSplit
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Conv2D, MaxPooling2D, Flatten, Dense
from scikit_keras import KerasClassifier

错误信息 #

Exception has occurred: ModuleNotFoundError No module named 'scikit_keras'

已安装的包版本 #

• scikit-learn: 1.2.0
• pandas: 1.5.2
• yfinance: 0.1.90
• numpy: 1.23.5
• tensorflow: 2.11.0
• keras: 2.11.0

解决方案 #

不存在scikit_keras这个PyPI包，你要找的Keras与scikit-learn兼容的包装器，是TensorFlow Keras自带的KerasClassifier，它位于keras.wrappers.scikit_learn模块下。

把导入语句修改为：

from tensorflow.keras.wrappers.scikit_learn import KerasClassifier

这个模块已经包含在你当前安装的TensorFlow/Keras版本里，不需要额外安装其他包。之前装的patchify和这个问题无关，无需理会。

内容的提问来源于stack exchange，提问作者gangdelbosco