log_metrics: Log Metrics
In collegevine/lightMLFlow: A Lightweight, Opinionated R Wrapper for the 'MLFlow' REST API
log_metrics R Documentation
Log Metrics
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
log_metrics(..., run_id = get_active_run_id(), client = mlflow_client())
Arguments
...
variable names from which a data.frame with key and value columns will be created.
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.
Value
No return value. Called for side effects.
collegevine/lightMLFlow documentation built on Jan. 16, 2024, 5:52 a.m.
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| log_metrics | R Documentation |
Log Metrics
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
log_metrics(..., run_id = get_active_run_id(), client = mlflow_client())
Arguments
... |
variable names from which a data.frame with |
run_id |
A run uuid. Automatically inferred if a run is currently active. |
client |
An MLFlow client. Defaults to |
Value
No return value. Called for side effects.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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