This is a helper function to install Python dependencies needed: a Python interpreter with TensorFlow Python library and its dependencies. It is performed using the reticulate package and the installer of the tensorflow R package. The available options are virtual or conda environments. The new environment is called digitaldlsorter-env. In any case, this installation can be manually done as it is explained in https://diegommcc.github.io/digitalDLSorteR/articles/kerasIssues.html, but we recommend using this function.
installTFpython(
conda = "auto",
python.version = "3.8",
tensorflow.version = "2.6",
install.conda = FALSE,
miniconda.path = NULL
)Path to a conda executable. Use "auto" (by default)
allows reticulate to automatically find an appropriate conda binary.
Python version to be installed in the environment
("3.8" by default). We recommend keeping this version as it has
been tested to be compatible with tensorflow 2.6.
Tensorflow version to be installed in the
environment ("2.6" by default).
Boolean indicating if install miniconda automatically
using reticulate. If TRUE, conda argument is ignored.
FALSE by default.
If install.conda is TRUE, you can set the
path where miniconda will be installed. If NULL, conda will find
automatically the proper place.
No return value, called for side effects: installation of conda environment with a Python interpreter and Tensorflow
This function is intended to make easier the installation of the requirements
needed to use digitalDLSorteR. It will automatically install Miniconda
(if wanted, see Parameters) and create an environment called
'digitaldlsorter-env'. If you want to use other python/conda environment, see
?tensorflow::use_condaenv and/or the vignettes.
if (FALSE) { # \dontrun{
notesInstallation <- installTFpython(
method = "auto", conda = "auto", install.conda = TRUE
)
} # }