This function allows users to set a custom python binary, virtualenv or conda environment, from which the MIDAS algorithm is run. Users comfortable with reticulate can configure Python manually using reticulate::use_. Note: If users wish to set a custom binary/environment, this must be completed prior to the first call to either train() or complete(). The same is true if users use the reticulate package directly. If users wish to switch to a different Python binaries, R must be restarted prior to calling this function.
set_python_env(x, type ="auto",...)
Arguments
x: Character string, path to python binary, or directory of virtualenv, or name of conda environment
type: Character string, specifies whether to set a python binary ("auto"), "virtualenv", or "conda"
...: Further arguments passed to reticulate::use_condaenv()
Returns
Boolean indicating whether the custom python environment was activated.