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Create a run.

create_experiment_run.Rd

Creates a new run within an experiment. A run is usually a single execution of a machine learning or data ETL pipeline. MLflow uses runs to track the mlflowParam, mlflowMetric and mlflowRunTag associated with a single execution.

Usage

create_experiment_run(
  client,
  experiment_id = NULL,
  start_time = NULL,
  tags = NULL,
  user_id = NULL
)

experimentsCreateRun(
  client,
  experiment_id = NULL,
  start_time = NULL,
  tags = NULL,
  user_id = NULL
)

Arguments

client

Required. Instance of DatabricksClient()

experiment_id

ID of the associated experiment.

start_time

Unix timestamp in milliseconds of when the run started.

tags

Additional metadata for run.

user_id

ID of the user executing the run.