pip install scikit-learn-extra
ERROR: Failed building wheel for scikit-learn-extra
pip install https://github.com/scikit-learn-contrib/scikit-learn-extra/archive/master.zip
ERROR: Failed building wheel for scikit-learn-extra
Failed to build scikit-learn-extra
ERROR: Could not build wheels for sciki
我正在开发一个python包,它需要scikit learn作为依赖项,所以在setup.py中我有:
install_requires=['scikit-learn>=0.20.0']
我将软件包上传到test.pypi.org,当我试图在虚拟环境中安装它时,我得到了这个错误:“错误:无法安装软件包,因为这些软件包版本具有冲突的依赖关系。”
The conflict is caused by:
scikit-learn 0.24.1 depends on numpy>=1.13.3
scikit-learn 0.24.0 depends on nu
我试着安装scikit-学习Python 3。我这样做的方式如下:
virtualenv model_env
source model_env/bin/activate
pip3 install sklearn
因此,我得到以下错误消息:
Downloading/unpacking sklearn
Cannot fetch index base URL https://pypi.python.org/simple/
Could not find any downloads that satisfy the requirement sklearn
Cleaning up...
No d
我正在尝试安装scikit-使用docker image学习!它失败了,下面是错误:
ImportError: Numerical Python (NumPy) is not installed. scikit-learn requires NumPy >= 1.8.2. Installation instructions are available on the scikit-learn website: http://scikit-learn.org/stable/install.html Failed building wheel for scikit-learn
但是在日
我正在实现简单的Scikit-Learn Pipeline来在Google Cloud ML引擎中执行LatentDirichletAllocation。目标是从新数据中预测主题。下面是生成管道的代码:
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.decomposition import LatentDirichletAllocation
from sklearn.model_selection import train_test_split
from sklearn.pipeline imp
尝试安装scikit-learn using pip时出现以下错误
错误:
Downloading/unpacking scikit-learn
Cannot fetch index base URL https://pypi.python.org/simple/
Could not find any downloads that satisfy the requirement scikit-learn
Cleaning up...
No distributions at all found for scikit-learn
Storing debug log for failu
最近,无论我尝试使用pip安装什么,我都使用命令pip install module,但是对于我想安装的每个模块,我都会得到如下所示的输出:
开始时:
Defaulting to user installation because normal site-packages is not writeable
Collecting scikit-learn
Downloading scikit-learn-1.1.1.tar.gz (6.9 MB)
|████████████████████████████████| 6.9 MB 1.0 MB/s
然后一直下载之前的版本。
Downlo
所以使用pip search scikit-learn,我会得到这样的搜索结果:
scikit-learn - A set of python modules for machine learning and data mining
INSTALLED: 0.12.1 (latest)
这真的应该是有效的。
我在装有NumPy 1.6.1和SciPy 0.10.1的MacOS10.6.8上使用EnsidedPython2.7.3的免费发行版。是的,我知道EPD Free附带了scikit-learn,但是pip应该升级我的版本,这样我才能真正使用scikit-learn。
我是在一个萨吉克朱庇特笔记本上,我需要使用0.22或更高版本来训练和腌制我的模型。但是,我不能更新sklearn的版本。
通过pip更新
!pip3 install sklearn --upgrade
输出:
WARNING: pip is being invoked by an old script wrapper. This will fail in a future version of pip.
Please see https://github.com/pypa/pip/issues/5599 for advice on fixing the underlying issue.
To
我已经安装了sklearn,但是当我运行一个python文件来导入sklearn时,我得到了这个:
Traceback (most recent call last):
File "first.py", line 3, in <module>
from sklearn import datasets
ModuleNotFoundError: No module named 'sklearn'
这是我安装sklearn时的结果:
Requirement already satisfied: scikit-learn in c:\users\
当我在jupyter文件中运行时
import sklearn
print(sklearn.__version__)
结果是0.23.2,但是我想安装0.22.2。所以我立即
conda remove scikit-learn
并安装:
conda install scikit-learn=0.22.2
不幸的是,出现了以下错误:
PackagesNotFoundError: The following packages are not available from current channels: scikit-learn=0.22.2
如何删除sklearn版本0.23.2并安装0.2
我有一个以前在ReadTheDocs上成功构建的包,但现在不是这样了。我的导入如下: import pandas as pd
import numpy as np
import scipy
import sys
from annoy import AnnoyIndex
from packaging import version
from scipy.spatial import cKDTree
from scipy.sparse import coo_matrix
from umap.umap_ import fuzzy_simplicial_set
from sklearn.neighbo
我准备在OS-X上安装scikit-learn using port。你知道我错过了什么吗。
端口版本
Version: 2.1.3
OS-X
10.8.2 Build 12C60
Xcode
Version 3.2.5 (1760)
Python
Python 2.7.2 (default, Jun 20 2012, 16:23:33)
[GCC 4.2.1 Compatible Apple Clang 4.0 (tags/Apple/clang-418.0.60)] on darwin
Type "help", "copyright", "cre