Nothing
# Computes path to Python executable from the MLFLOW_PYTHON_BIN environment variable.
get_python_bin <- function() {
in_env <- Sys.getenv("MLFLOW_PYTHON_BIN")
if (in_env != "") {
return(in_env)
}
# MLFLOW_PYTHON_EXECUTABLE is an environment variable that's defined in a Databricks notebook
# environment.
mlflow_python_executable <- Sys.getenv("MLFLOW_PYTHON_EXECUTABLE")
if (mlflow_python_executable != "") {
stdout <- system(paste(mlflow_python_executable, '-c "import sys; print(sys.executable)"'),
intern = TRUE,
ignore.stderr = TRUE)
return(paste(stdout, collapse = ""))
}
python_bin <- Sys.which("python")
if (python_bin != "") {
return(python_bin)
}
stop(paste("MLflow not configured, please run `pip install mlflow` or ",
"set MLFLOW_PYTHON_BIN and MLFLOW_BIN environment variables.", sep = ""))
}
# Returns path to Python executable
python_bin <- function() {
if (is.null(.globals$python_bin)) {
python <- get_python_bin()
.globals$python_bin <- path.expand(python)
}
.globals$python_bin
}
# Returns path to MLflow CLI, assumed to be in the same bin/ directory as the
# Python executable
python_mlflow_bin <- function() {
in_env <- Sys.getenv("MLFLOW_BIN")
if (in_env != "") {
return(in_env)
}
mlflow_bin <- Sys.which("mlflow")
if (mlflow_bin != "") {
return(mlflow_bin)
}
python_bin_dir <- dirname(python_bin())
if (.Platform$OS.type == "windows") {
file.path(python_bin_dir, "Scripts", "mlflow")
} else {
file.path(python_bin_dir, "mlflow")
}
}
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