python cuml 23.12.00

PS D:\pythonrepo\gpu-examples_python>
                                      conda install -c conda-forge cuml
Retrieving notices: ...working... done
Channels:
 - conda-forge
 - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
 - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
 - defaults
Platform: win-64
Collecting package metadata (repodata.json): done
Solving environment: -

 

* [Welcome to cuML’s documentation! — cuml 23.12.00 documentation](https://docs.rapids.ai/api/cuml/stable/)

Welcome to cuML’s documentation!

cuML is a suite of fast, GPU-accelerated machine learning algorithms designed for data science and analytical tasks. Our API mirrors Sklearn’s, and we provide practitioners with the easy fit-predict-transform paradigm without ever having to program on a GPU.

As data gets larger, algorithms running on a CPU becomes slow and cumbersome. RAPIDS provides users a streamlined approach where data is initially loaded in the GPU, and compute tasks can be performed on it directly.

* [python使用cuML训练你的机器学习模型 - 知乎](https://zhuanlan.zhihu.com/p/291988504)
* [ModuleNotFoundError: No module named 'cuml' - CSDN文库](https://wenku.csdn.net/answer/43ngkjksf0)