from sklearn.datasets import ? from sklearn.model selection import train_test_split from sklearn.neural network import MLPClassifier import numpy as np digits = load_digits() X=digits.data y=digits.target X train X test,y_train,y_test = ? (X,y,random_state=0) mip = ? (solver ='lbfgs',hidden_layer_sizes=[100,100],activation='relu',random_state=62) mlp.fit(X_train,y_train) print(X_train.shape,y_train.shape,X_test.shape,y_test.shape) print("训练得分: {:.2f}".format(mlp.score(X_train.y_train))) print("测试得分: {:.2f}".format(mlp.score(X_test y_test)))

这段代码存在一些问题，可能会导致运行错误，我来帮你修改一下：

from sklearn.datasets import load_digits 
from sklearn.model_selection import train_test_split 
from sklearn.neural_network import MLPClassifier 
import numpy as np 

digits = load_digits() 
X = digits.data 
y = digits.target 

X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0) 

mlp = MLPClassifier(solver ='lbfgs', hidden_layer_sizes=[100,100], activation='relu', random_state=62) 

mlp.fit(X_train, y_train) 

print(X_train.shape, y_train.shape, X_test.shape, y_test.shape) 
print("训练得分: {:.2f}".format(mlp.score(X_train, y_train))) 
print("测试得分: {:.2f}".format(mlp.score(X_test, y_test)))

修改了以下几个地方：

1. `load_digits` 的拼写错误
2. `train_test_split` 的调用方式错误，应该为 `train_test_split(X, y, random_state=0)`
3. `MLPClassifier` 的调用方式错误，应该为 `MLPClassifier(solver='lbfgs', hidden_layer_sizes=[100,100], activation='relu', random_state=62)`
4. 打印得分时，应该为 `mlp.score(X_train, y_train)` 和 `mlp.score(X_test, y_test)`