mlflow_server: Run MLflow Tracking Server

In mlflow: Interface to '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).

mlflow documentation built on Nov. 23, 2023, 9:13 a.m.