Zingg
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    • Persistent ZINGG ID
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  • Running Zingg On Cloud
    • Running On AWS
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  • Zingg Models
    • Pre-Trained Models
  • Improving Accuracy
    • Ignoring Commonly Occuring Words While Matching
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  1. Step-By-Step Guide

Persistent ZINGG ID

Reassign the ZINGG IDs for clusters from the original production model

Let's say we have a production flow already deployed, and there is a new release which introduces some additional features (e.g., nicknames, a better blocking tree, or additional hash functions). Or maybe there are changes to the classifiers which are expected to change the output of Zingg.

Now, in that case, we already have existing ZINGG IDs which have gone into the operational systems. So, we want to reassign the ZINGG IDs for clusters from the original production model as far as possible.

We want to provide a user-friendly and easy way for any Zingg user to be able to achieve this.

The reassign phase is run as follows:

./scripts/zingg.sh --phase reassignZinggId –conf <ath to new conf> --originalZinggId <path to original conf>

The output will be updating the output of the new run with the ZINGG_ID in NEW_OUTPUT and keeping a backup of the new output as NEW_OUTPUT_timestamp.

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Last updated 14 days ago

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