module 'sklearn.neural_network' has no attribute 'MPClassifier'
时间: 2023-07-06 11:25:46 浏览: 48
这是因为您在代码中错误地拼写了 MLPClassifier。正确的拼写应该是 MLPClassifier,即多层感知器分类器。请检查您的代码并进行更正。以下是正确的导入方式:
```python
from sklearn.neural_network import MLPClassifier
```
这样您就可以正确地使用 MLPClassifier 进行分类任务了。
相关问题
from sklearn.neural_network import MLPClassifier,MLPRegressor Traceback (most recent call last): File "C:\Users\wyq_0\AppData\Local\Temp\ipykernel_13656\921061210.py", line 1, in <module> from sklearn.neural_network import MLPClassifier,MLPRegressor File "C:\Users\wyq_0\python\lib\site-packages\sklearn\neural_network\__init__.py", line 10, in <module> from ._multilayer_perceptron import MLPClassifier File "C:\Users\wyq_0\python\lib\site-packages\sklearn\neural_network\_multilayer_perceptron.py", line 26, in <module> from ..metrics import accuracy_score, r2_score File "C:\Users\wyq_0\python\lib\site-packages\sklearn\metrics\__init__.py", line 42, in <module> from . import cluster File "C:\Users\wyq_0\python\lib\site-packages\sklearn\metrics\cluster\__init__.py", line 22, in <module> from ._unsupervised import silhouette_samples File "C:\Users\wyq_0\python\lib\site-packages\sklearn\metrics\cluster\_unsupervised.py", line 16, in <module> from ..pairwise import pairwise_distances_chunked File "C:\Users\wyq_0\python\lib\site-packages\sklearn\metrics\pairwise.py", line 33, in <module> from ._pairwise_distances_reduction import ArgKmin File "C:\Users\wyq_0\python\lib\site-packages\sklearn\metrics\_pairwise_distances_reduction\__init__.py", line 89, in <module> from ._dispatcher import ( File "C:\Users\wyq_0\python\lib\site-packages\sklearn\metrics\_pairwise_distances_reduction\_dispatcher.py", line 11, in <module> from ._base import _sqeuclidean_row_norms32, _sqeuclidean_row_norms64 File "sklearn\metrics\_pairwise_distances_reduction\_base.pyx", line 1, in init sklearn.metrics._pairwise_distances_reduction._base AttributeError: module 'sklearn.utils._openmp_helpers' has no attribute '__pyx_capi__'咋办
这个错误可能是由于Scikit-learn与OpenMP的兼容性问题导致的。有一种可能的解决方法是禁用OpenMP,可以在代码中加入以下语句:
```
import os
os.environ['KMP_DUPLICATE_LIB_OK']='True'
```
如果你使用的是Anaconda环境,也可以尝试卸载并重新安装Scikit-learn:
```
conda remove scikit-learn
conda install scikit-learn
```
如果以上方法都无法解决问题,建议升级你的编译器和OpenMP库,或者联系Scikit-learn官方社区获取更多帮助。
module 'torch.nn' has no attribute 'LeakyReLu'
The error message suggests that there is a typo in the attribute name. The correct attribute name for the Leaky ReLU activation function in PyTorch is `LeakyReLU` (note the capitalization of the "R" and "L" in ReLU).
To fix the error, you can simply change `LeakyReLu` to `LeakyReLU`:
```
import torch.nn as nn
# define a neural network module with LeakyReLU activation
class MyNetwork(nn.Module):
def __init__(self):
super(MyNetwork, self).__init__()
self.layer = nn.Linear(10, 10)
self.activation = nn.LeakyReLU(negative_slope=0.1)
def forward(self, x):
x = self.layer(x)
x = self.activation(x)
return x
```