Closed stormbeforesunsetbee closed 3 years ago
Thanks for the report. The pending update should fix this issue.
Your welcome :)
I'm getting the same Error with python 3.9.5 scikit-learn Version: 0.24.2 threadpoolctl Version: 3.0.0
from sklearn.cluster import KMeans
ModuleNotFoundError Traceback (most recent call last)
c:\mb\MBA\MBA4.py in <cell line: 1>()
----> [66](file:///c%3A/mb/MBA/MBA4.py?line=65) from sklearn.cluster import KMeans
File c:\Users\mb\anaconda3\envs\AEKaggle\lib\site-packages\sklearn\cluster\__init__.py:6, in <module>
[1](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/__init__.py?line=0) """
[2](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/__init__.py?line=1) The :mod:`sklearn.cluster` module gathers popular unsupervised clustering
[3](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/__init__.py?line=2) algorithms.
[4](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/__init__.py?line=3) """
----> [6](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/__init__.py?line=5) from ._spectral import spectral_clustering, SpectralClustering
[7](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/__init__.py?line=6) from ._mean_shift import (mean_shift, MeanShift,
[8](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/__init__.py?line=7) estimate_bandwidth, get_bin_seeds)
[9](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/__init__.py?line=8) from ._affinity_propagation import affinity_propagation, AffinityPropagation
File c:\Users\mb\anaconda3\envs\AEKaggle\lib\site-packages\sklearn\cluster\_spectral.py:19, in <module>
[17](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/_spectral.py?line=16) from ..neighbors import kneighbors_graph, NearestNeighbors
[18](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/_spectral.py?line=17) from ..manifold import spectral_embedding
---> [19](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/_spectral.py?line=18) from ._kmeans import k_means
[22](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/_spectral.py?line=21) @_deprecate_positional_args
[23](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/_spectral.py?line=22) def discretize(vectors, *, copy=True, max_svd_restarts=30, n_iter_max=20,
[24](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/_spectral.py?line=23) random_state=None):
[25](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/_spectral.py?line=24) """Search for a partition matrix (clustering) which is closest to the
[26](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/_spectral.py?line=25) eigenvector embedding.
[27](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/_spectral.py?line=26)
(...)
[73](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/_spectral.py?line=72)
[74](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/_spectral.py?line=73) """
File c:\Users\mb\anaconda3\envs\AEKaggle\lib\site-packages\sklearn\cluster\_kmeans.py:18, in <module>
[16](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/_kmeans.py?line=15) import numpy as np
[17](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/_kmeans.py?line=16) import scipy.sparse as sp
---> [18](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/_kmeans.py?line=17) from threadpoolctl import threadpool_limits
[19](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/_kmeans.py?line=18) from threadpoolctl import threadpool_info
[21](file:///c%3A/Users/mb/anaconda3/envs/AEKaggle/lib/site-packages/sklearn/cluster/_kmeans.py?line=20) from ..base import BaseEstimator, ClusterMixin, TransformerMixin
ModuleNotFoundError: No module named 'threadpoolctl'
System
Void 5.12.14_1 x86_64-musl GenuineIntel notuptodate rrFFFF
python3-scikit-learn-0.23.2_1
Expected behavior
Include
threadpoolctl
by defaultActual behavior
Steps to reproduce the behavior
python3-scikit-learn
python3
from sklearn.cluster import KMeans