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Select the Python environment used for TensorFlow-backed LSTM fits

Source: R/elcf4r_tensorflow_env.R
elcf4r_use_tensorflow_env.Rd

This helper provides an explicit, user-invoked way to bind the Python environment used by reticulate before calling elcf4r_fit_lstm().

Usage

elcf4r_use_tensorflow_env(python = NULL, virtualenv = NULL, required = TRUE)

Arguments

python

Optional path to a Python interpreter passed to reticulate::use_python().

virtualenv

Optional virtualenv name or path passed to reticulate::use_virtualenv().

required

Logical passed to the corresponding reticulate selector.

Value

Invisibly returns the selected Python interpreter path when it can be determined.

Examples

if (interactive() &&
    requireNamespace("reticulate", quietly = TRUE) &&
    reticulate::virtualenv_exists("r-tensorflow")) {
  elcf4r_use_tensorflow_env(virtualenv = "r-tensorflow")
}