Uses of Class
deepnetts.eval.ConfusionMatrix

Packages that use ConfusionMatrix

Package	Description
deepnetts.eval	Evaluation procedures for machine learning models, used to estimate how good models are performing when given new data that (that was not used for training).

Uses of ConfusionMatrix in deepnetts.eval

Methods in deepnetts.eval that return ConfusionMatrix

Modifier and Type	Method	Description
ConfusionMatrix	ClassificationMetrics.getConfusionMatrix()	Returns a confusion matrix that is used to generate these metrics.
ConfusionMatrix	ClassifierEvaluator.getConfusionMatrix()

Methods in deepnetts.eval with parameters of type ConfusionMatrix

Modifier and Type	Method	Description
static ClassificationMetrics[]	ClassificationMetrics.createFrom(ConfusionMatrix confusionMatrix)	Creates classification metrics from the given confusion matrix.

Constructors in deepnetts.eval with parameters of type ConfusionMatrix

Modifier	Constructor	Description
	ClassificationMetrics(ConfusionMatrix confMatrix)	Constructs a new classification metrics from specified confusion matrix.
	ClassificationMetrics(ConfusionMatrix confMatrix, String classLabel, int classIdx)	Constructs a new classification metrics of a single class for multi class classification.