[ https://issues.apache.org/jira/browse/HIVEMALL-259?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Makoto Yui updated HIVEMALL-259: -------------------------------- Issue Type: Bug (was: Improvement) > [BUG] feature_binning does not work properly under certain conditions > --------------------------------------------------------------------- > > Key: HIVEMALL-259 > URL: https://issues.apache.org/jira/browse/HIVEMALL-259 > Project: Hivemall > Issue Type: Bug > Affects Versions: 0.5.2 > Reporter: Makoto Yui > Assignee: Makoto Yui > Priority: Trivial > Fix For: 0.6.0 > > > > feature_binning does not properly work in certain condition. > It might be a bug in quantiles lookup by a different key type object at [this > line|[https://github.com/apache/incubator-hivemall/blob/master/core/src/main/java/hivemall/ftvec/binning/FeatureBinningUDF.java#L133]]. > > {code:java} > WITH extracted as ( > select > extract_feature(feature) as index, > extract_weight(feature) as value > from > input l > LATERAL VIEW explode(features) r as feature > ), > bins as ( > select > map(index, build_bins(value, 5, true)) as quantiles -- 5 bins with auto > bin shrinking > from > extracted > group by > index > ) > select > l.features as original, > feature_binning(l.features, r.quantiles) as features > from > input l > cross join bins r > ; > {code} > > -- This message was sent by Atlassian Jira (v8.3.4#803005)