install_pylearn_parsimony {mglasso}

Install the python library pylearn-parsimony and other required libraries

Description

pylearn-parsimony contains the solver CONESTA used for the mglasso problem and is available on github at https://github.com/neurospin/pylearn-parsimony It is advised to use a python version ">=3.7,<3.10". Indeed, the latest version of scipy under which mglasso was developped is scipy 1.7.1 which is based on python ">=3.7,<3.10". In turn, this version of scipy can only be associated with a version of numpy ">=1.16.5,<1.23.0"

Usage

install_pylearn_parsimony(
  method = c("auto", "virtualenv", "conda"),
  conda = "auto",
  extra_pack = c("scipy == 1.7.1", "scikit-learn", "numpy == 1.22.4", "six",
    "matplotlib"),
  python_version = "3.8",
  restart_session = TRUE,
  envname = NULL,
  ...
)

Arguments

method

Installation method. By default, "auto" automatically finds a method that will work in the local environment. Change the default to force a specific installation method. Note that the "virtualenv" method is not available on Windows.

conda

The path to a conda executable. Use "auto" to allow reticulate to automatically find an appropriate conda binary. See Finding Conda and conda_binary() for more details.

extra_pack

Character vector. Extra-packages to be installed.

python_version

The requested Python version. Ignored when attempting to install with a Python virtual environment.

restart_session

Restart R session after installing (note this will only occur within RStudio)

envname

The name, or full path, of the environment in which Python packages are to be installed. When NULL (the default), the active environment as set by the RETICULATE_PYTHON_ENV variable will be used; if that is unset, then the r-reticulate environment will be used.

...

additionnal arguments passed to reticulate::py_install()

Value

No return value.