roc_curve.glmnetcv_classifier: Construct an ROC curve using a trained 'glmnetcv_classifier'...

In iai: Interface to 'Interpretable AI' Modules

Construct an ROC curve using a trained glmnetcv_classifier on the given data

Description

Julia Equivalent: IAI.ROCCurve

Usage

## S3 method for class 'glmnetcv_classifier'
roc_curve(obj, X, y, fit_index = NULL, ...)

Arguments

obj	The learner or grid to use for prediction.
X	The features of the data.
y	The labels of the data.
fit_index	The index of the fit in the path to use for prediction, defaulting to the best fit if not supplied.
...	Refer to the Julia documentation for available parameters.

IAI Compatibility

Requires IAI version 3.0 or higher.

Examples

## Not run: iai::roc_curve(lnr, X, y)

iai documentation built on Oct. 19, 2024, 1:07 a.m.