我正在尝试在 R 中使用 spacyr。所以我运行了下面的代码。
spacy_install()
然后，R返回的结果如下。如何让 R 准备好执行下一步，即 spacy_initialization()？
> spacy_install()
Proceed?
1: No
2: Yes
Selection: 2
Using existing conda environment spacy_condaenv for spaCy installation
.
spaCy and language model(s): en_core_web_sm will be installed. Installing spaCy...
+ "C:/Users/Ryo/miniconda3/condabin/conda.bat" "install" "--yes" "--name" "spacy_condaenv" "-c" "conda-forge" "spacy"
Collecting package metadata (current_repodata.json): ...working... done
Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.
Solving environment: ...working... failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): ...working... done
操作系统：Windows 10 RStudio：4.3.2.
正如 Conda 维护者在 https://github.com/conda/conda/issues/8051#issuecomment-1549451621 中所述 他们的官方立场是他们知道旧的解算器很慢，这就是为什么他们努力允许在 Conda 中使用 libmamba 解算器。
安装：
conda install -n base conda-libmamba-solver
此时您可以自由使用一次，例如：
conda install tensorflow --solver=libmamba
或设置为默认求解器：
conda config --set solver libmamba
通常几秒钟内就能解决。
更多安装信息请参阅：https://conda.github.io/conda-libmamba-solver/getting-started/