log_metric_to_run

A string of the name of the metric.

name

value

The <code>Run</code> object. If not specified, will default
to the current run from the service context.

Log a numerical or string value with the given metric name
to the run. Logging a metric to a run causes that metric to
be stored in the run record in the experiment. You can log
the same metric multiple times within a run, the result being
considered a vector of that metric.

Interface to the 'Azure Machine Learning' Software Development Kit
('SDK'). Data scientists can use the 'SDK' to train, deploy, automate, and
manage machine learning models on the 'Azure Machine Learning' service. To
learn more about 'Azure Machine Learning' visit the website:
<https://docs.microsoft.com/en-us/azure/machine-learning/service/overview-what-is-azure-ml>.

Diondra Peck

azuremlsdk

Interface to the 'Azure Machine Learning' 'SDK'

Minna Xiao

AzureML R SDK Team 

Microsoft 

 Google Inc.

 The TensorFlow Authors

 RStudio Inc.

log_metric_to_run function

<pre>log_metric_to_run("Accuracy", 0.95)
</pre>

log_metric_to_run: Log a metric to a run

Description

Usage

Arguments

Value

Examples