mlflow_server {mlflow}

Run MLflow Tracking Server

Description

Wrapper for 'mlflow server'.

Usage

mlflow_server(
  file_store = "mlruns",
  default_artifact_root = NULL,
  host = "127.0.0.1",
  port = 5000,
  workers = NULL,
  static_prefix = NULL,
  serve_artifacts = FALSE
)

Arguments

file_store

The root of the backing file store for experiment and run data.

default_artifact_root

Local or S3 URI to store artifacts in, for newly created experiments.

host

The network address to listen on (default: 127.0.0.1).

port

The port to listen on (default: 5000).

workers

Number of gunicorn worker processes to handle requests (default: 4).

static_prefix

A prefix which will be prepended to the path of all static paths.

serve_artifacts

A flag specifying whether or not to enable artifact serving (default: FALSE).