[jira] [Updated] (SPARK-1406) PMML model evaluation support via MLib
[ https://issues.apache.org/jira/browse/SPARK-1406?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiangrui Meng updated SPARK-1406: - Target Version/s: 1.4.0 (was: 1.3.0) PMML model evaluation support via MLib -- Key: SPARK-1406 URL: https://issues.apache.org/jira/browse/SPARK-1406 Project: Spark Issue Type: New Feature Components: MLlib Reporter: Thomas Darimont Assignee: Vincenzo Selvaggio Attachments: MyJPMMLEval.java, SPARK-1406.pdf, SPARK-1406_v2.pdf, kmeans.xml It would be useful if spark would provide support the evaluation of PMML models (http://www.dmg.org/v4-2/GeneralStructure.html). This would allow to use analytical models that were created with a statistical modeling tool like R, SAS, SPSS, etc. with Spark (MLib) which would perform the actual model evaluation for a given input tuple. The PMML model would then just contain the parameterization of an analytical model. Other projects like JPMML-Evaluator do a similar thing. https://github.com/jpmml/jpmml/tree/master/pmml-evaluator -- 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-1406) PMML model evaluation support via MLib
[ https://issues.apache.org/jira/browse/SPARK-1406?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vincenzo Selvaggio updated SPARK-1406: -- Attachment: SPARK-1406_v2.pdf Updated document with model supported so far: KMeansModel, LogisticRegressionModel, SVMModel, LinearRegressionModel, RidgeRegressionModel, LassoModel PMML model evaluation support via MLib -- Key: SPARK-1406 URL: https://issues.apache.org/jira/browse/SPARK-1406 Project: Spark Issue Type: New Feature Components: MLlib Reporter: Thomas Darimont Assignee: Vincenzo Selvaggio Attachments: MyJPMMLEval.java, SPARK-1406.pdf, SPARK-1406_v2.pdf, kmeans.xml It would be useful if spark would provide support the evaluation of PMML models (http://www.dmg.org/v4-2/GeneralStructure.html). This would allow to use analytical models that were created with a statistical modeling tool like R, SAS, SPSS, etc. with Spark (MLib) which would perform the actual model evaluation for a given input tuple. The PMML model would then just contain the parameterization of an analytical model. Other projects like JPMML-Evaluator do a similar thing. https://github.com/jpmml/jpmml/tree/master/pmml-evaluator -- 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-1406) PMML model evaluation support via MLib
[ https://issues.apache.org/jira/browse/SPARK-1406?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiangrui Meng updated SPARK-1406: - Assignee: Vincenzo Selvaggio PMML model evaluation support via MLib -- Key: SPARK-1406 URL: https://issues.apache.org/jira/browse/SPARK-1406 Project: Spark Issue Type: New Feature Components: MLlib Reporter: Thomas Darimont Assignee: Vincenzo Selvaggio Attachments: MyJPMMLEval.java, SPARK-1406.pdf, kmeans.xml It would be useful if spark would provide support the evaluation of PMML models (http://www.dmg.org/v4-2/GeneralStructure.html). This would allow to use analytical models that were created with a statistical modeling tool like R, SAS, SPSS, etc. with Spark (MLib) which would perform the actual model evaluation for a given input tuple. The PMML model would then just contain the parameterization of an analytical model. Other projects like JPMML-Evaluator do a similar thing. https://github.com/jpmml/jpmml/tree/master/pmml-evaluator -- 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-1406) PMML model evaluation support via MLib
[ https://issues.apache.org/jira/browse/SPARK-1406?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vincenzo Selvaggio updated SPARK-1406: -- Attachment: (was: kmeans.xml) PMML model evaluation support via MLib -- Key: SPARK-1406 URL: https://issues.apache.org/jira/browse/SPARK-1406 Project: Spark Issue Type: New Feature Components: MLlib Reporter: Thomas Darimont It would be useful if spark would provide support the evaluation of PMML models (http://www.dmg.org/v4-2/GeneralStructure.html). This would allow to use analytical models that were created with a statistical modeling tool like R, SAS, SPSS, etc. with Spark (MLib) which would perform the actual model evaluation for a given input tuple. The PMML model would then just contain the parameterization of an analytical model. Other projects like JPMML-Evaluator do a similar thing. https://github.com/jpmml/jpmml/tree/master/pmml-evaluator -- 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-1406) PMML model evaluation support via MLib
[ https://issues.apache.org/jira/browse/SPARK-1406?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vincenzo Selvaggio updated SPARK-1406: -- Attachment: MyJPMMLEval.java SPARK-1406.pdf kmeans.xml ModelExporter documentation (PDF) PMML xml example generated by the ModelExporter JPMMLEvaluator example using the exported model PMML model evaluation support via MLib -- Key: SPARK-1406 URL: https://issues.apache.org/jira/browse/SPARK-1406 Project: Spark Issue Type: New Feature Components: MLlib Reporter: Thomas Darimont Attachments: MyJPMMLEval.java, SPARK-1406.pdf, kmeans.xml It would be useful if spark would provide support the evaluation of PMML models (http://www.dmg.org/v4-2/GeneralStructure.html). This would allow to use analytical models that were created with a statistical modeling tool like R, SAS, SPSS, etc. with Spark (MLib) which would perform the actual model evaluation for a given input tuple. The PMML model would then just contain the parameterization of an analytical model. Other projects like JPMML-Evaluator do a similar thing. https://github.com/jpmml/jpmml/tree/master/pmml-evaluator -- 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-1406) PMML model evaluation support via MLib
[ https://issues.apache.org/jira/browse/SPARK-1406?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vincenzo Selvaggio updated SPARK-1406: -- Attachment: kmeans.xml SPARK-1406.pdf PMML model evaluation support via MLib -- Key: SPARK-1406 URL: https://issues.apache.org/jira/browse/SPARK-1406 Project: Spark Issue Type: New Feature Components: MLlib Reporter: Thomas Darimont Attachments: SPARK-1406.pdf, kmeans.xml It would be useful if spark would provide support the evaluation of PMML models (http://www.dmg.org/v4-2/GeneralStructure.html). This would allow to use analytical models that were created with a statistical modeling tool like R, SAS, SPSS, etc. with Spark (MLib) which would perform the actual model evaluation for a given input tuple. The PMML model would then just contain the parameterization of an analytical model. Other projects like JPMML-Evaluator do a similar thing. https://github.com/jpmml/jpmml/tree/master/pmml-evaluator -- 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-1406) PMML model evaluation support via MLib
[ https://issues.apache.org/jira/browse/SPARK-1406?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiangrui Meng updated SPARK-1406: - Target Version/s: 1.3.0 (was: 1.2.0) PMML model evaluation support via MLib -- Key: SPARK-1406 URL: https://issues.apache.org/jira/browse/SPARK-1406 Project: Spark Issue Type: New Feature Components: MLlib Reporter: Thomas Darimont It would be useful if spark would provide support the evaluation of PMML models (http://www.dmg.org/v4-2/GeneralStructure.html). This would allow to use analytical models that were created with a statistical modeling tool like R, SAS, SPSS, etc. with Spark (MLib) which would perform the actual model evaluation for a given input tuple. The PMML model would then just contain the parameterization of an analytical model. Other projects like JPMML-Evaluator do a similar thing. https://github.com/jpmml/jpmml/tree/master/pmml-evaluator -- 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-1406) PMML model evaluation support via MLib
[ https://issues.apache.org/jira/browse/SPARK-1406?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiangrui Meng updated SPARK-1406: - Target Version/s: 1.2.0 PMML model evaluation support via MLib -- Key: SPARK-1406 URL: https://issues.apache.org/jira/browse/SPARK-1406 Project: Spark Issue Type: New Feature Components: MLlib Reporter: Thomas Darimont It would be useful if spark would provide support the evaluation of PMML models (http://www.dmg.org/v4-2/GeneralStructure.html). This would allow to use analytical models that were created with a statistical modeling tool like R, SAS, SPSS, etc. with Spark (MLib) which would perform the actual model evaluation for a given input tuple. The PMML model would then just contain the parameterization of an analytical model. Other projects like JPMML-Evaluator do a similar thing. https://github.com/jpmml/jpmml/tree/master/pmml-evaluator -- This message was sent by Atlassian JIRA (v6.2#6252)
