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| Property | Description |
|---|---|
| outputUnits | required, default is The memory size of neural networks. The result-ranking system requires memory (heap space) and disk space per unit for each user (local ranking) or instance (global ranking). You can adjust the size of the memory used per unit to mitigate possible memory consumption issues (see Result Ranker memory size). |
| rankingNetworkStorageStrategy | required The result-ranking memory strategy. The default strategy stores result rankings per user. Other strategies are possible (see Result Ranker strategy). To adjust the strategy, set the |
| class | required, default is Other possible values must be a subtype of |
Understanding configuration to optimise memory footprint
The Periscope Result Ranker module creates a certain number of memory units. The total number of memory units depends on the Result Ranker strategy. The size of a single memory unit is based on the Result Ranker memory size.
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| Code Block |
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Class: info.magnolia.periscope.rank.ml.jcr.JcrUserRoleNetworkStorageStrategy |
| Tip |
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To keep the memory footprint for the Result Ranker on a minimum level, use the |