| IndependentRecallTopNMetric |
An alternate methodology from computing precision/recall scores.
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| IndependentRecallTopNMetric.Builder |
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| IndependentRecallTopNMetric.Result |
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| ItemSelectors |
Class providing various item selectors.
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| MAPTopNMetric |
Compute the mean average precision.
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| MAPTopNMetric.AggregateResult |
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| MAPTopNMetric.Builder |
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| MAPTopNMetric.Context |
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| MAPTopNMetric.UserResult |
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| MRRTopNMetric |
Compute the mean reciprocal rank.
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| MRRTopNMetric.AggregateResult |
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| MRRTopNMetric.Builder |
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| MRRTopNMetric.Context |
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| MRRTopNMetric.UserResult |
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| NDCGTopNMetric |
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| NDCGTopNMetric.Builder |
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| NDCGTopNMetric.Result |
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| PrecisionRecallTopNMetric |
A metric to compute the precision and recall of a recommender given a
set of candidate items to recommend from and a set of desired items.
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| PrecisionRecallTopNMetric.Builder |
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| PrecisionRecallTopNMetric.Result |
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| TopNEntropyMetric |
Metric that measures the entropy of the top N recommendations across all users.
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| TopNEntropyMetric.Builder |
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| TopNEntropyMetric.Result |
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| TopNLengthMetric |
Metric that measures how long a TopN list actually is.
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| TopNLengthMetric.Builder |
Build a Top-N length metric to measure Top-N lists.
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| TopNLengthMetric.Result |
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| TopNMetricBuilder<K> |
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| TopNPopularityMetric |
Metric that measures how popular the items in the TopN list are.
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| TopNPopularityMetric.Builder |
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| TopNPopularityMetric.Result |
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