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Alberto Bonsanto commented on SPARK-17141: ------------------------------------------ Crude data. | id|chicken|jam|roast beef| | 1| NaN|2.0| 2.0| | 2| 2.0|0.0| 2.0| | 3| NaN|0.0| 2.0| | 4| 2.0|1.0| -2.0| | 5| 2.0|2.0| 2.0| | 6| 2.0|2.0| NaN| After assemble and normalization, as you can see {{Double.NaN}} are replaced for {{0.5}}. |id |chicken|jam|roast beef|features |featuresNorm | |1 |NaN |2.0|2.0 |[NaN,2.0,2.0] |[0.5,1.0,1.0]| |2 |2.0 |0.0|2.0 |[2.0,0.0,2.0] |[0.5,0.0,1.0]| |3 |NaN |0.0|2.0 |[NaN,0.0,2.0] |[0.5,0.0,1.0]| |4 |2.0 |1.0|-2.0 |[2.0,1.0,-2.0]|[0.5,0.5,0.0]| |5 |2.0 |2.0|2.0 |[2.0,2.0,2.0] |[0.5,1.0,1.0]| |6 |2.0 |2.0|NaN |[2.0,2.0,NaN] |[0.5,1.0,NaN]| > MinMaxScaler behaves weird when min and max have the same value and some > values are NaN > --------------------------------------------------------------------------------------- > > Key: SPARK-17141 > URL: https://issues.apache.org/jira/browse/SPARK-17141 > Project: Spark > Issue Type: Bug > Components: ML > Affects Versions: 1.6.2, 2.0.0 > Environment: Databrick's Community, Spark 2.0 + Scala 2.10 > Reporter: Alberto Bonsanto > Priority: Trivial > > When you have a {{DataFrame}} with a column named {{features}}, which is a > {{DenseVector}} and the *maximum* and *minimum* and some values are > {{Double.NaN}} they get replaced by 0.5, and they should remain with the same > value, I believe. > I know how to fix it, but I haven't ever made a pull request. You can check > the bug in this > [notebook|https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/2485090270202665/3126465289264547/8589256059752547/latest.html] -- 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