log_residuals_to_run

A string of the name of the metric.

name

A named list containing name, version, and data properties.

value

(Optional) A string of the metric description.

description

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

<code>log_residuals_to_run()</code> logs the data needed to display a histogram
of residuals for a regression task. The residuals are <code>predicted - actual</code>.
There should be one more edge than the number of counts.

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_residuals_to_run function

<pre>data &lt;- list("bin_edges" = c(50, 100, 200, 300, 350),
 "bin_counts" = c(0.88, 20, 30, 50.99))
residuals &lt;- list("schema_type" = "residuals",
 "schema_version" = "v1",
 "data" = data)
log_predictions_to_run("myresiduals", predictions)
</pre>

log_residuals_to_run: Log a residuals metric to a run

Description

Usage

Arguments

Value

Examples