mlflow_start_run: Start Run

In mlflow: Interface to 'MLflow'

Start Run

Description

Starts a new run. If 'client' is not provided, this function infers contextual information such as source name and version, and also registers the created run as the active run. If 'client' is provided, no inference is done, and additional arguments such as 'start_time' can be provided.

Usage

mlflow_start_run(
  run_id = NULL,
  experiment_id = NULL,
  start_time = NULL,
  tags = NULL,
  client = NULL,
  nested = FALSE
)

Arguments

run_id	If specified, get the run with the specified UUID and log metrics and params under that run. The run's end time is unset and its status is set to running, but the run's other attributes remain unchanged.
experiment_id	Used only when 'run_id' is unspecified. ID of the experiment under which to create the current run. If unspecified, the run is created under a new experiment with a randomly generated name.
start_time	Unix timestamp of when the run started in milliseconds. Only used when 'client' is specified.
tags	Additional metadata for run in key-value pairs. Only used when 'client' is specified.
client	(Optional) An MLflow client object returned from mlflow_client. If specified, MLflow will use the tracking server associated with the passed-in client. If unspecified (the common case), MLflow will use the tracking server associated with the current tracking URI.
nested	Controls whether the run to be started is nested in a parent run. 'TRUE' creates a nest run.

Examples

## Not run: 
with(mlflow_start_run(), {
  mlflow_log_metric("test", 10)
})

## End(Not run)

mlflow documentation built on Nov. 1, 2024, 1:07 a.m.