通过网状结构在R中安装Python模块时出错

我正在使用R，我想使用我用Python编写的一个函数，该函数需要导入：

来自sklearn.neights.kde导入内核密度

我正在尝试使用以下代码：

library(reticulate)
py_install("scikit-learn.neighbors.kde")

我已经安装了sklearn，其中包括：

py\u安装（“scikit学习”）

也在努力

py_安装（“sklearn.neights.kde”）

不起作用

我收到以下错误/日志：

Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): ...working... done
Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.

PackagesNotFoundError: The following packages are not available from current channels:

  - scikit-learn.neighbors.kde

Current channels:

  - https://conda.anaconda.org/conda-forge/win-64
  - https://conda.anaconda.org/conda-forge/noarch
  - https://repo.anaconda.com/pkgs/main/win-64
  - https://repo.anaconda.com/pkgs/main/noarch
  - https://repo.anaconda.com/pkgs/r/win-64
  - https://repo.anaconda.com/pkgs/r/noarch
  - https://repo.anaconda.com/pkgs/msys2/win-64
  - https://repo.anaconda.com/pkgs/msys2/noarch

To search for alternate channels that may provide the conda package you're
looking for, navigate to

    https://anaconda.org

and use the search bar at the top of the page.


Error: one or more Python packages failed to install [error code 1]

---

关于如何解决这个问题有什么建议吗？

模块是

KernelDensity

而不是

kde

。如果安装了sklearn，则以下功能应能正常工作：

library(reticulate)
sklearn = import("sklearn")
kde = sklearn$neighbors$KernelDensity

kde
<class 'sklearn.neighbors._kde.KernelDensity'>

X = matrix(rnorm(20),10,1)

kde = kde(kernel="gaussian")$fit(X)
kde$score_samples(X)

[1] -1.479458 -1.603451 -1.338018 -1.465263 -1.655933 -1.463628 -1.340137
 [8] -1.856085 -1.374666 -1.478621

库（网状）
sklearn=导入（“sklearn”）
kde=sklearn$neights$KernelDensity
kde
X=矩阵（rnorm（20），10,1）
kde=kde（kernel=“gaussian”）$fit（X）
kde$score_样本（X）
[1] -1.479458 -1.603451 -1.338018 -1.465263 -1.655933 -1.463628 -1.340137
[8] -1.856085 -1.374666 -1.478621