log_metric: Log Metric
In mrkaye97/lightMLFlow: A lightweight R wrapper for the MLFlow REST API

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.

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

`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`	A run uuid. Automatically inferred if a run is currently active.
`client`	An MLFlow client. Defaults to `NULL` and will be auto-generated.