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Github user mgaido91 commented on the issue:
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yes, thanks, forgot to update in the Scala API, so I updated all them
accordingly. Thanks.
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Github user hhbyyh commented on the issue:
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Take it and good luck.
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Github user mgaido91 commented on the issue:
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@holdenk @srowen anyway I realized that computing the lift for previously
saved models is not feasible as we don't know the number of training records,
so we cannot compute the items support.
Github user mgaido91 commented on the issue:
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thanks for pointing that out @hhbyyh . I wasn't aware of it. I think lift
and confidence are more useful metrics than the support (the votes on the JIRAs
seem also to agree with me on this).
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just FYI about another related PR:
https://github.com/apache/spark/pull/17280
and maybe I should close it? @srowen
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Yeah, I like that idea. Just compute it on initializing the model.
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@srowen then what about recomputing when reading saved models? This seems a
good compromise to me as it saves the writing of the data, it allows having
lift for old models, but it doesn't
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cc @holdenk @srowen @yanboliang
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