org.android.activityminer.logic.evaluation
Interface ValidationStrategy

All Known Implementing Classes:

CrossValidationStrategy

public interface ValidationStrategy

Interface for validation algorithms.

Method Summary

EvaluationResult	eval(Set<FeatureTypes> visibleAttributes, Classifier classifier) Does evaluate the classification results for the given classifier and visible attributes.
double	getAvgPreditionTime() Getter for the average time to predict an activity
double	getAvgTrainingTime() Getter for the average time to train an activity sample.
String	getDescription() Getter for the evaluation strategy description.
double	getMaxPreditionTime() Getter for the maximum prediction time
double	getMinPreditionTime() Getter for the minimum prediction time
void	prepare(List<TrainingActivity> trainingActivities) Method for preparation with the set of training activities.

Method Detail

getDescription

String getDescription()

Getter for the evaluation strategy description.

Returns:

the description of the evaluation strategy.

prepare

void prepare(List<TrainingActivity> trainingActivities)

Method for preparation with the set of training activities.

Parameters:

trainingActivities - the set of training activities.

eval

EvaluationResult eval(Set<FeatureTypes> visibleAttributes,
                      Classifier classifier)

Does evaluate the classification results for the given classifier and visible attributes.

Parameters:

visibleAttributes - the visible attributes for evaluation

classifier - the classifier to use for evaluation

Returns:

the evaluation result

getAvgPreditionTime

double getAvgPreditionTime()

Getter for the average time to predict an activity

Returns:

the average time to predict an activity

getMaxPreditionTime

double getMaxPreditionTime()

Getter for the maximum prediction time

Returns:

the maximum time to predict an activity

getMinPreditionTime

double getMinPreditionTime()

Getter for the minimum prediction time

Returns:

the minimum time to predict an activity

getAvgTrainingTime

double getAvgTrainingTime()

Getter for the average time to train an activity sample.

Returns:

the average time to train an activity sample