Interface Evaluation<T extends Output<T>>

Type Parameters:

T - The output type.

All Superinterfaces:

com.oracle.labs.mlrg.olcut.provenance.Provenancable<EvaluationProvenance>

All Known Subinterfaces:

AnomalyEvaluation, ClassifierEvaluation<T>, ClusteringEvaluation, LabelEvaluation, MultiLabelEvaluation, RegressionEvaluation

All Known Implementing Classes:

MultiLabelEvaluationImpl

public interface Evaluation<T extends Output<T>>
extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<EvaluationProvenance>

An immutable evaluation of a specific model and dataset.

Method Summary

Modifier and Type	Method	Description
Map<MetricID<T>, Double>	asMap()	Get a map of all the metrics stored in this evaluation.
default double	get(MetricID<T> key)	Gets the value associated with the specific metric.
List<Prediction<T>>	getPredictions()	Gets the predictions stored in this evaluation.

Methods inherited from interface com.oracle.labs.mlrg.olcut.provenance.Provenancable

getProvenance

Method Details

asMap

Map<MetricID<T>, Double> asMap()

Get a map of all the metrics stored in this evaluation. The keys are metric id's and the values are their corresponding computed results.

Returns:

a map of all stored results

get

default double get(MetricID<T> key)

Gets the value associated with the specific metric. Throws IllegalArgumentException if the metric is unknown.

Parameters:

key - The metric to lookup.

Returns:

The value for that metric.

getPredictions

List<Prediction<T>> getPredictions()

Gets the predictions stored in this evaluation.

Returns:

The predictions.