mlflow_log_metric

Float value for the metric being logged.

value

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.

timestamp

Step at which to log the metric. Step is rounded to the nearest integer. If
unspecified, the default value of zero is used.

step

run_id

(Optional) An MLflow client object returned from <a rd-options="mlflow" href="/link/mlflow_client?package=mlflow&version=1.0.0&to=mlflow" data-mini-rdoc="mlflow::mlflow_client">mlflow_client</a>.
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.

client

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.

R interface to 'MLflow', open source platform for the complete machine
learning life cycle, see <https://mlflow.org/>. This package supports installing
'MLflow', tracking experiments, creating and running projects, and saving and
serving models.

Matei Zaharia

mlflow

Interface to 'MLflow'

Javier Luraschi

Kevin Kuo

 RStudio

mlflow_log_metric function

(Optional) An MLflow client object returned from <a rd-options='mlflow' href='mlflow_client'>mlflow_client</a>.
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_log_metric: Log Metric

Description

Usage

Arguments