mlflow: mlflow_log_metric – R documentation

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mlflow_log_metric

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

Interface to 'MLflow'

v1.17.0

Apache License 2.0

Authors

Matei Zaharia [aut, cre], Javier Luraschi [aut], Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>), RStudio [cph]

Initial release

mlflow_log_metric

Description

Usage

Arguments

mlflow

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