[ https://issues.apache.org/jira/browse/SPARK-5384?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-5384: --------------------------------- Target Version/s: 1.3.0, 1.2.1 (was: 1.2.1) > Vectors.sqdist return inconsistent result for sparse/dense vectors when the > vectors have different lengths > ---------------------------------------------------------------------------------------------------------- > > Key: SPARK-5384 > URL: https://issues.apache.org/jira/browse/SPARK-5384 > Project: Spark > Issue Type: Bug > Components: MLlib > Affects Versions: 1.3.0 > Environment: centos, others should be similar > Reporter: yuhao yang > Assignee: yuhao yang > Priority: Minor > Fix For: 1.3.0 > > Original Estimate: 24h > Remaining Estimate: 24h > > For two vectors of different lengths, Vectors.sqdist would return different > result when the vectors are represented as sparse and dense respectively. > Sample: > val s1 = new SparseVector(4, Array(0,1,2,3), Array(1.0, 2.0, 3.0, 4.0)) > val s2 = new SparseVector(1, Array(0), Array(9.0)) > val d1 = new DenseVector(Array(1.0, 2.0, 3.0, 4.0)) > val d2 = new DenseVector(Array(9.0)) > println(s1 == d1 && s2 == d2) > println(Vectors.sqdist(s1, s2)) > println(Vectors.sqdist(d1, d2)) > result: > true > 93.0 > 64.0 > More precisely, for the extra part, Vectors.sqdist would include it for > sparse vectors and exclude it for dense vectors. I'll send a PR and we can > have more detailed discussion there. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org