是我sklearn没下成功吗？

这是运行报错，显示找不到sklearn组件

Traceback (most recent call last):
  File "D:\桌面\4.py", line 3, in <module>
    from sklearn.neural_network import MLPClassifier
ModuleNotFoundError: No module named 'sklearn

我用pip在电脑下载显示如下：

这是我需要运行的代码

import numpy as np     
from os import listdir 
from sklearn.neural_network import MLPClassifier  
def img2vector(fileName):    
    retMat = np.zeros([1024],int) 
    fr = open(fileName)          
    lines = fr.readlines()        
    for i in range(32):           
        for j in range(32):         
            retMat[i*32+j] = lines[i][j]    
    return retMat
def readDataSet(path):    
    fileList = listdir(path)    
    numFiles = len(fileList)    
    dataSet = np.zeros([numFiles,1024],int)
    hwLabels = np.zeros([numFiles,10])      
    for i in range(numFiles):   
        filePath = fileList[i]    
        digit = int(filePath.split('_')[0])  
        hwLabels[i][digit] = 1.0        
        dataSet[i] = img2vector(path +'/'+filePath) 
    return dataSet,hwLabels
fpath='digits'
train_dataSet, train_hwLabels = readDataSet(fpath+'trainingDigits')
clf = MLPClassifier(hidden_layer_sizes=(100,),
                    activation='logistic', solver='adam',
                    learning_rate_init = 0.00001, max_iter=2000)
print(clf)
clf.fit(train_dataSet,train_hwLabels)
dataSet,hwLabels = readDataSet(fpath+'testDigits')
res = clf.predict(dataSet)   
error_num = 0                
num = len(dataSet)           
for i in range(num):         
    if np.sum(res[i] == hwLabels[i]) < 10: 
        error_num += 1                     
print("Total num:",num," Wrong num:",error_num,"  WrongRate:",error_num / float(num))

sklearn包的全称是scikit-learn。所以你应该是pip install scikit-learn