azuremlsdk: log_residuals_to_run – R documentation

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log_residuals_to_run

Log a residuals metric to a run

Description

log_residuals_to_run() logs the data needed to display a histogram of residuals for a regression task. The residuals are predicted - actual.

There should be one more edge than the number of counts.

Usage

log_residuals_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 `Run` object. If not specified, will default to the current run from the service context.

Value

None

Examples

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

azuremlsdk

Interface to the 'Azure Machine Learning' 'SDK'

v1.10.0

MIT + file LICENSE

Authors

Diondra Peck [cre, aut], Minna Xiao [aut], AzureML R SDK Team [ctb], Microsoft [cph, fnd], Google Inc. [cph] (Examples and Tutorials), The TensorFlow Authors [cph] (Examples and Tutorials), RStudio Inc. [cph] (Examples and Tutorials)

Initial release