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无法在R中安装keras包:调用库时提示无该包的问题求助

Troubleshooting "there is no package called ‘keras’" Error After Installation

Let's break down the possible reasons and fixes for this issue:

1. The keras installation didn’t complete successfully (most common)

When using devtools::install_github(), network interruptions or missing dependency packages can cause the installation to fail silently (or with errors you might have missed).

  • Fix: Re-run the installation command and pay close attention to the console output:
    devtools::install_github("rstudio/keras")
    
    Look for lines starting with Error — if a specific dependency package fails to install, manually install that package first with install.packages("dependency_name"), then try installing keras again.

2. keras was installed to a library path R doesn’t check by default

Sometimes devtools installs packages to a non-standard library path that R isn’t configured to look in.

  • Fix:
    1. Check your current R library paths with:
      .libPaths()
      
    2. Verify if keras exists in any of these paths:
      find.package("keras", quiet = TRUE)
      
    3. If it returns nothing, re-install keras to one of your default library paths explicitly:
      devtools::install_github("rstudio/keras", lib = .libPaths()[1])
      

3. Your devtools version is outdated

Older versions of devtools might have bugs that prevent proper installation from GitHub.

  • Fix: Update devtools first, then reinstall keras:
    install.packages("devtools")
    devtools::install_github("rstudio/keras")
    

4. Permission issues blocked the installation

On Windows, you might lack admin rights to write to the system-wide R library. On Linux/macOS, you might not have write permissions for the default library directory.

  • Fix:
    • Windows: Right-click R/RStudio and select "Run as administrator", then re-run the installation commands.
    • Linux/macOS: Install keras to a user-specific library path (you’ll have write access here):
      devtools::install_github("rstudio/keras", lib = "~/R/library")
      
      Then add this path to your R library paths permanently by adding .libPaths("~/R/library") to your .Rprofile file.

内容的提问来源于stack exchange,提问作者Denmla

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最近更新时间:2026.05.26 11:08:57