[GitHub] spark issue #22236: [SPARK-10697][ML] Add lift to Association rules
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[GitHub] spark issue #22236: [SPARK-10697][ML] Add lift to Association rules
Github user mgaido91 commented on the issue: https://github.com/apache/spark/pull/22236 yes, thanks, forgot to update in the Scala API, so I updated all them accordingly. Thanks. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user mgaido91 commented on the issue: https://github.com/apache/spark/pull/22236 @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. I'll keep the re-computation at read time in order to avoid saving the `itemSupport` map, but for previous models the lift is going to be null as we cannot compute it. Thanks. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user mgaido91 commented on the issue: https://github.com/apache/spark/pull/22236 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). Anyway, after this PR, adding support too would be trivial. I checked your PR @hhbyyh and if you don't mind I'll take the naming from there as I prefer it over the one I used here. :) Thanks. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user hhbyyh commented on the issue: https://github.com/apache/spark/pull/22236 just FYI about another related PR: https://github.com/apache/spark/pull/17280 and maybe I should close it? @srowen --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user srowen commented on the issue: https://github.com/apache/spark/pull/22236 Yeah, I like that idea. Just compute it on initializing the model. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user mgaido91 commented on the issue: https://github.com/apache/spark/pull/22236 @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 introduce any perf regression when creating a model. Of course the "terribly expensive" quite depends on how much data there is etc.etc. Anyway, it is a pass on the `freqItemset` RDD. As it is not cached, it means we have to generate all the possible itemsets and perform an aggregation on them. Maybe that is not the most expensive part of the algorithm, but saving it seems worth to me. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #22236: [SPARK-10697][ML] Add lift to Association rules
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[GitHub] spark issue #22236: [SPARK-10697][ML] Add lift to Association rules
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[GitHub] spark issue #22236: [SPARK-10697][ML] Add lift to Association rules
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