log_row_to_run: Log a row metric to a run

In Azure/azureml-sdk-for-r: Interface to the 'Azure Machine Learning' 'SDK'

Log a row metric to a run

Description

Using log_row_to_run() creates a metric with multiple columns as described in .... Each named parameter generates a column with the value specified. log_row_to_run() can be called once to log an arbitrary tuple, or multiple times in a loop to generate a complete table.

Usage

log_row_to_run(name, description = "", run = NULL, ...)

Arguments

name	A string of the name of metric.
description	(Optional) A string of the metric description.
run	The Run object. If not specified, will default to the current run from the service context.
...	Each named parameter generates a column with the value specified.

Value

None

Examples

Log an arbitrary tuple:

log_row_to_run("Y over X", x = 1, y = 0.4)

Log the complete table:

citrus <- c("orange", "lemon", "lime")
sizes <- c(10, 7, 3)
for (i in seq_along(citrus)) {
    log_row_to_run("citrus", fruit = citrus[i], size = sizes[i])
}

Azure/azureml-sdk-for-r documentation built on Sept. 21, 2022, 5:45 a.m.