mlflow_log_metric: Log Metric

In mlflow: Interface to 'MLflow'

Log Metric

Description

Logs a metric for a run. Metrics key-value pair that records a single float measure. During a single execution of a run, a particular metric can be logged several times. The MLflow Backend keeps track of historical metric values along two axes: timestamp and step.

Usage

mlflow_log_metric(
  key,
  value,
  timestamp = NULL,
  step = NULL,
  run_id = NULL,
  client = NULL
)

Arguments

key	Name of the metric.
value	Float value for the metric being logged.
timestamp	Timestamp at which to log the metric. Timestamp is rounded to the nearest integer. If unspecified, the number of milliseconds since the Unix epoch is used.
step	Step at which to log the metric. Step is rounded to the nearest integer. If unspecified, the default value of zero is used.
run_id	Run ID.
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.

mlflow documentation built on Sept. 9, 2025, 5:29 p.m.