log_predictions_to_run {azuremlsdk} | R Documentation |
Log a predictions metric to a run
Description
log_predictions_to_run()
logs a metric score that can be used to
compare the distributions of true target values to the distribution
of predicted values for a regression task.
The predictions are binned and standard deviations are calculated for error bars on a line chart.
Usage
log_predictions_to_run(name, value, description = "", run = NULL)
Arguments
name |
A string of the name of the metric. |
value |
A named list containing name, version, and data properties. |
description |
(Optional) A string of the metric description. |
run |
The |
Value
None
Examples
data <- list("bin_averages" = c(0.25, 0.75), "bin_errors" = c(0.013, 0.042), "bin_counts" = c(56, 34), "bin_edges" = c(0.0, 0.5, 1.0)) predictions <- list("schema_type" = "predictions", "schema_version" = "v1", "data" = data) log_predictions_to_run("mypredictions", predictions)
[Package azuremlsdk version 1.10.0 Index]