[jira] [Commented] (SPARK-8335) DecisionTreeModel.predict() return type not convenient!
[ https://issues.apache.org/jira/browse/SPARK-8335?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14586248#comment-14586248 ] Sebastian Walz commented on SPARK-8335: --- Yeah I am sure, that is a really a scala.Double. I just looked it up again on github. So the problem still exists in on the current master branch. > DecisionTreeModel.predict() return type not convenient! > --- > > Key: SPARK-8335 > URL: https://issues.apache.org/jira/browse/SPARK-8335 > Project: Spark > Issue Type: Bug > Components: MLlib >Affects Versions: 1.3.1 >Reporter: Sebastian Walz >Priority: Minor > Labels: easyfix, machine_learning > Original Estimate: 10m > Remaining Estimate: 10m > > org.apache.spark.mllib.tree.model.DecisionTreeModel has a predict method: > def predict(features: JavaRDD[Vector]): JavaRDD[Double] > The problem here is the generic type of the return type JAVARDD[Double] > because its a scala Double and I would expect a java.lang.Double. (to be > convenient e.g. with > org.apache.spark.mllib.classification.ClassificationModel) > I wanted to extend the DecisionTreeModel and use it only for Binary > Classification and wanted to implement the trait > org.apache.spark.mllib.classification.ClassificationModel . But its not > possible because the ClassificationModel already defines the predict method > but with an return type JAVARDD[java.lang.Double]. -- 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
[jira] [Updated] (SPARK-8335) DecisionTreeModel.predict() return type not convenient!
[ https://issues.apache.org/jira/browse/SPARK-8335?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sebastian Walz updated SPARK-8335: -- Labels: easyfix machine_learning (was: easyfix) > DecisionTreeModel.predict() return type not convenient! > --- > > Key: SPARK-8335 > URL: https://issues.apache.org/jira/browse/SPARK-8335 > Project: Spark > Issue Type: Bug > Components: MLlib >Affects Versions: 1.3.1 >Reporter: Sebastian Walz >Priority: Minor > Labels: easyfix, machine_learning > Original Estimate: 10m > Remaining Estimate: 10m > > org.apache.spark.mllib.tree.model.DecisionTreeModel has a predict method: > def predict(features: JavaRDD[Vector]): JavaRDD[Double] > The problem here is the generic type of the return type JAVARDD[Double] > because its a scala Double and I would expect a java.lang.Double. (to be > convenient e.g. with > org.apache.spark.mllib.classification.ClassificationModel) > I wanted to extend the DecisionTreeModel and use it only for Binary > Classification and wanted to implement the trait > org.apache.spark.mllib.classification.ClassificationModel . But its not > possible because the ClassificationModel already defines the predict method > but with an return type JAVARDD[java.lang.Double]. -- 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
[jira] [Updated] (SPARK-8335) DecisionTreeModel.predict() return type not convenient!
[ https://issues.apache.org/jira/browse/SPARK-8335?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sebastian Walz updated SPARK-8335: -- Description: org.apache.spark.mllib.tree.model.DecisionTreeModel has a predict method: def predict(features: JavaRDD[Vector]): JavaRDD[Double] The problem here is the generic type of the return type JAVARDD[Double] because its a scala Double and I would expect a java.lang.Double. (to be convenient e.g. with org.apache.spark.mllib.classification.ClassificationModel) I wanted to extend the DecisionTreeModel and use it only for Binary Classification and wanted to implement the trait org.apache.spark.mllib.classification.ClassificationModel . But its not possible because the ClassificationModel already defines the predict method but with an return type JAVARDD[java.lang.Double]. was: org.apache.spark.mllib.tree.model.DecisionTreeModel has a predict method: def predict(features: JavaRDD[Vector]): JavaRDD[Double] The problem here is the generic type from the return type JAVARDD[Double] because its a scala Double and and java.lang.Double like expected. I wanted to extend the DecisionTreeModel and use it only for Binary Classification and wanted to extend with the trait org.apache.spark.mllib.classification.ClassificationModel . But its not possible because the ClassificationModel already defines the predict method but with an return type JAVARDD[java.lang.Double]. > DecisionTreeModel.predict() return type not convenient! > --- > > Key: SPARK-8335 > URL: https://issues.apache.org/jira/browse/SPARK-8335 > Project: Spark > Issue Type: Bug > Components: MLlib >Affects Versions: 1.3.1 >Reporter: Sebastian Walz >Priority: Minor > Labels: easyfix > Original Estimate: 10m > Remaining Estimate: 10m > > org.apache.spark.mllib.tree.model.DecisionTreeModel has a predict method: > def predict(features: JavaRDD[Vector]): JavaRDD[Double] > The problem here is the generic type of the return type JAVARDD[Double] > because its a scala Double and I would expect a java.lang.Double. (to be > convenient e.g. with > org.apache.spark.mllib.classification.ClassificationModel) > I wanted to extend the DecisionTreeModel and use it only for Binary > Classification and wanted to implement the trait > org.apache.spark.mllib.classification.ClassificationModel . But its not > possible because the ClassificationModel already defines the predict method > but with an return type JAVARDD[java.lang.Double]. -- 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
[jira] [Created] (SPARK-8335) DecisionTreeModel.predict() return type not convenient!
Sebastian Walz created SPARK-8335: - Summary: DecisionTreeModel.predict() return type not convenient! Key: SPARK-8335 URL: https://issues.apache.org/jira/browse/SPARK-8335 Project: Spark Issue Type: Bug Components: MLlib Affects Versions: 1.3.1 Reporter: Sebastian Walz Priority: Minor org.apache.spark.mllib.tree.model.DecisionTreeModel has a predict method: def predict(features: JavaRDD[Vector]): JavaRDD[Double] The problem here is the generic type from the return type JAVARDD[Double] because its a scala Double and and java.lang.Double like expected. I wanted to extend the DecisionTreeModel and use it only for Binary Classification and wanted to extend with the trait org.apache.spark.mllib.classification.ClassificationModel . But its not possible because the ClassificationModel already defines the predict method but with an return type JAVARDD[java.lang.Double]. -- 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
