Log a metric. — log_experiment_metric • databricks

Logs a metric for a run. A metric is a key-value pair (string key, float value) with an associated timestamp. Examples include the various metrics that represent ML model accuracy. A metric can be logged multiple times.

Usage

log_experiment_metric(
  client,
  key,
  value,
  timestamp,
  run_id = NULL,
  run_uuid = NULL,
  step = NULL
)

experimentsLogMetric(
  client,
  key,
  value,
  timestamp,
  run_id = NULL,
  run_uuid = NULL,
  step = NULL
)

Arguments

client: Required. Instance of DatabricksClient()
key: Required. Name of the metric.
value: Required. Double value of the metric being logged.
timestamp: Required. Unix timestamp in milliseconds at the time metric was logged.
run_id: ID of the run under which to log the metric.
run_uuid: Deprecated, use run_id instead. ID of the run under which to log the metric.
step: Step at which to log the metric.