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PropertyDescription
outputUnits

required, default is 10000

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 property accordingly.

class

required, default is info.magnolia.periscope.rank.ml.jcr.JcrUsernameNetworkStorageStrategy

Other possible values must be a subtype of info.magnolia.periscope.rank.ml.RankingNetworkStorageStrategy.

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  1. Open the JCR app.

  2. Switch to the rankings workspace.

  3. Select the nodes you want to delete.

  4. In the action bar, click Delete item.
    image

Adding support for Linux armhf and ppc64le

The Periscope Result Ranker module supports the 64-bit versions of Linux, Mac OS and Windows by default. If you use Magnolia in one of the environments below, you must add the corresponding dependencies manually.

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