public class IndependentRecallTopNMetric extends AbstractMetric<IndependentRecallTopNMetric.Context,IndependentRecallTopNMetric.Result,IndependentRecallTopNMetric.Result>
| Modifier and Type | Class and Description |
|---|---|
static class |
IndependentRecallTopNMetric.Builder |
class |
IndependentRecallTopNMetric.Context |
static class |
IndependentRecallTopNMetric.Result |
| Constructor and Description |
|---|
IndependentRecallTopNMetric(String pre,
String sfx,
ItemSelector queryItems,
ItemSelector candidates,
int listSize,
ItemSelector exclude) |
| Modifier and Type | Method and Description |
|---|---|
IndependentRecallTopNMetric.Context |
createContext(Attributed algo,
TTDataSet ds,
Recommender rec)
Create the context for an experimental condition (algorithm/data set pair).
|
IndependentRecallTopNMetric.Result |
doMeasureUser(TestUser user,
IndependentRecallTopNMetric.Context context)
Measure a user with typed results.
|
protected String |
getPrefix()
A prefix to be applied to column names.
|
protected String |
getSuffix()
A suffix to be applied to column names.
|
protected IndependentRecallTopNMetric.Result |
getTypedResults(IndependentRecallTopNMetric.Context context)
Get the typed results from an accumulator.
|
close, getColumnLabels, getResults, getUserColumnLabels, measureUserpublic IndependentRecallTopNMetric(String pre, String sfx, ItemSelector queryItems, ItemSelector candidates, int listSize, ItemSelector exclude)
pre - the prefix label for this evaluation, or null for no prefix.sfx - the suffix label for this evaluation, or null for no suffix.queryItems - the "true positive" items that we compute the hit rate overcandidates - items to add to the recommendation, should be a random selectionlistSize - The size of the recommendation list to evaluateexclude - Items which should not be included in the recommendations.
Should not include test set.protected String getPrefix()
AbstractMetricnull, this prefix will be applied and
separated with a period.getPrefix in class AbstractMetric<IndependentRecallTopNMetric.Context,IndependentRecallTopNMetric.Result,IndependentRecallTopNMetric.Result>protected String getSuffix()
AbstractMetricnull, this suffix will be applied and
separated with a period.getSuffix in class AbstractMetric<IndependentRecallTopNMetric.Context,IndependentRecallTopNMetric.Result,IndependentRecallTopNMetric.Result>public IndependentRecallTopNMetric.Context createContext(Attributed algo, TTDataSet ds, Recommender rec)
Metricalgo - The algorithm.ds - The data set.rec - The LensKit recommender, if applicable. This can be null for an external
algorithm that does not provide a LensKit recommender.Metric.measureUser(TestUser, Object). If
the metric does not accumulate any results, this method can return null.public IndependentRecallTopNMetric.Result doMeasureUser(TestUser user, IndependentRecallTopNMetric.Context context)
AbstractMetricdoMeasureUser in class AbstractMetric<IndependentRecallTopNMetric.Context,IndependentRecallTopNMetric.Result,IndependentRecallTopNMetric.Result>user - The user to measure.context - The context.null to emit NAs for the user.protected IndependentRecallTopNMetric.Result getTypedResults(IndependentRecallTopNMetric.Context context)
AbstractMetricgetTypedResults in class AbstractMetric<IndependentRecallTopNMetric.Context,IndependentRecallTopNMetric.Result,IndependentRecallTopNMetric.Result>context - The context.null to emit NAs.