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Posted to issues@spark.apache.org by "Alexander Ulanov (JIRA)" <ji...@apache.org> on 2015/07/17 00:23:04 UTC

[jira] [Created] (SPARK-9120) Add multivariate regression (or prediction) interface

Alexander Ulanov created SPARK-9120:
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             Summary: Add multivariate regression (or prediction) interface
                 Key: SPARK-9120
                 URL: https://issues.apache.org/jira/browse/SPARK-9120
             Project: Spark
          Issue Type: Improvement
          Components: ML
    Affects Versions: 1.4.0
            Reporter: Alexander Ulanov
             Fix For: 1.4.0


org.apache.spark.ml.regression.RegressionModel supports prediction only for a single variable with a method "predict:Double" by extending the Predictor. There is a need for multivariate prediction, at least for regression. I propose to modify "RegressionModel" interface similarly to how it is done in "ClassificationModel", which supports multiclass classification. It has "predict:Double" and "predictRaw:Vector". Analogously, "RegressionModel" should have something like "predictMultivariate:Vector".




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