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Description in keras::install_keras says the following:
Keras and TensorFlow will be installed into an "r-tensorflow" virtual or conda environment.
However there is no default value set for envname parameter. This results in an installation inside the default r-reticulate environment, as mentioned on R tensorflow page. At the moment envname can be passed to the tensorflow::install_tensorflow through the ellipsis.
In the tensorflow package the default environment was changed in the 1.14.1 release. Setting envname = "r-tensorflow" helps to avoid potential conflicts if some modules are already installed inside the default environment. However if the r-reticulate env is desired as standard one then the docs should be corrected.
Please let me know if you would like me to provide a PR.
The text was updated successfully, but these errors were encountered:
The code that installs tensorflow and keras has been refactored.
Please update to the latest versions of reticulate, tensorflow, and keras:
install.packages("remotes")
remotes::install_github(paste0("rstudio/", c("reticulate", "tensorflow", "keras")))
reticulate::install_miniconda() # skip this if you want to self-install conda or use venvkeras::install_keras()
Description in
keras::install_keras
says the following:However there is no default value set for
envname
parameter. This results in an installation inside the defaultr-reticulate
environment, as mentioned on R tensorflow page. At the momentenvname
can be passed to thetensorflow::install_tensorflow
through the ellipsis.In the tensorflow package the default environment was changed in the 1.14.1 release. Setting
envname = "r-tensorflow"
helps to avoid potential conflicts if some modules are already installed inside the default environment. However if ther-reticulate
env is desired as standard one then the docs should be corrected.Please let me know if you would like me to provide a PR.
The text was updated successfully, but these errors were encountered: