我安装在：D:\pytho27\Scripts 下，可以个这个路径配置path ，这样方便cmd 中直接调用 ，类似下图：检验是否安装成功如下图：安装了easy_install 之后安装python的库就很简单了，以后需要安装python的库的话则直接在命令行使用 easy_install + python库的名字 如：easy_install numpy scikit-learn需要以下...
diff --git a/setup.py b/setup.pyindex 2f56794..c62ce76 100644--- a/setup.py+++ b/setup.py@@ -55,7 +55,7 @@ setup(cmake_args=['-DTENSORFLOW_ROOT:STRING=%s' % tf_install_dir, '-DBUILD_PY_IF:BOOL=TRUE', '-DBUILD_CPP_IF:BOOL=FALSE',- '-DFLOAT_PREC:STRING=high',+ ...
condainstallipykernel ipython kernelinstall--name"Python_3.8.15"--user 插播python2的安装,主要是为了运行SPRING。【也到但系安装ipython,最后用python2的语法测试】 1 2 3 4 5 6 7 8 9 conda create -n r3p2 conda activate r3p2 condainstallpython=2.7 python -m pipinstallscikit-learn numpy scipy ...
This installation did not install the CUDA Driver. A driver of version at least 460.00 is required for CUDA 11.2 functionality to work. To install the driver using this installer, run the following command, replacing <CudaInstaller> with the name of this run file: sudo <CudaInstaller>.run -...
$ pip install scikit-learn Requirement already satisfied (use --upgrade to upgrade): scikit-learn in c:\program files\anaconda2\lib\site-packages You are using pip version 8.1.2, however version 9.0.1 is available. You should consider upgrading via the 'python -m pip install --upgrade pip...
conda create —name myenv python=3.8 anaconda=4.7.12 numpy pandas scikit-learn matplotlib scipy ipython jupyter-client ipykernel jupyterlab nodejs=14.16.0 matplotlib=3.4.2 ipywidgets=7.5.0 sqlalchemy dask distributed dask-ml bokeh xarray networkx pillow jupyter_client=4.1.2+py38_0 jupyter_core...
conda install scikit-image 这条命令会从Conda的默认渠道下载并安装scikit-image及其所有依赖项。 等待安装完成: Conda会解析依赖关系,下载并安装所有必要的包。这可能需要一些时间,具体取决于你的网络连接和需要安装的包的数量。 验证安装成功: 安装完成后,你可以通过输入以下命令来验证scikit-image是否已成功安装: ...
当我在jupyter文件中运行时print(sklearn.__version__)condaremove scikit-learncondainstall scikit-learn=0.22.2 PackagesNotFoundError 浏览2提问于2020-08-26得票数 1 回答已采纳 2回答 除非有必要,否则如何避免使用conda锻造包装? 、、、 通常情况下,我会运行这样的操作:这会频繁地使用conda-forge更新其他包:...
同时安装多个库:pip install numpy matplotlib pandas scipy scikit-learn Gym 安装指定版本的库:conda/pip install package==version # 例pip install pillow==7.2.0 update和upgrade 设置conda不自动启动base环境: conda config --set auto_activate_base false ...
0.4.0=py37_0-defaults/win-64::pytest-doctestplus==0.1.3=py37_0-defaults/win-64::pywavelets==1.0.0=py37h452e1ab_0-defaults/win-64::scikit-image==0.14.0=py37h6538335_1-defaults/win-64::scikit-learn==0.19.2=py37heebcf9a_0-defaults/win-64::scipy==1.1.0=py37h4f6bf74_1-...