[jira] [Updated] (SPARK-6805) ML Pipeline API in SparkR
[ https://issues.apache.org/jira/browse/SPARK-6805?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiangrui Meng updated SPARK-6805: - Description: SparkR was merged. So let's have this umbrella JIRA for the ML pipeline API in SparkR. The implementation should be similar to the pipeline API implementation in Python. For Spark 1.5, we want to support linear/logistic regression in SparkR, with basic support for R formula and elastic-net regularization. The design doc can be viewed at https://docs.google.com/document/d/10NZNSEurN2EdWM31uFYsgayIPfCFHiuIu3pCWrUmP_c/edit?usp=sharing was:SparkR was merged. So let's have this umbrella JIRA for the ML pipeline API in SparkR. The implementation should be similar to the pipeline API implementation in Python. ML Pipeline API in SparkR - Key: SPARK-6805 URL: https://issues.apache.org/jira/browse/SPARK-6805 Project: Spark Issue Type: Umbrella Components: ML, SparkR Reporter: Xiangrui Meng Priority: Critical SparkR was merged. So let's have this umbrella JIRA for the ML pipeline API in SparkR. The implementation should be similar to the pipeline API implementation in Python. For Spark 1.5, we want to support linear/logistic regression in SparkR, with basic support for R formula and elastic-net regularization. The design doc can be viewed at https://docs.google.com/document/d/10NZNSEurN2EdWM31uFYsgayIPfCFHiuIu3pCWrUmP_c/edit?usp=sharing -- 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-6805) ML Pipeline API in SparkR
[ https://issues.apache.org/jira/browse/SPARK-6805?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Patrick Wendell updated SPARK-6805: --- Priority: Critical (was: Major) ML Pipeline API in SparkR - Key: SPARK-6805 URL: https://issues.apache.org/jira/browse/SPARK-6805 Project: Spark Issue Type: Umbrella Components: ML, SparkR Reporter: Xiangrui Meng Priority: Critical SparkR was merged. So let's have this umbrella JIRA for the ML pipeline API in SparkR. The implementation should be similar to the pipeline API implementation in Python. -- 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-6805) ML Pipeline API in SparkR
[ https://issues.apache.org/jira/browse/SPARK-6805?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiangrui Meng updated SPARK-6805: - Assignee: (was: Xiangrui Meng) ML Pipeline API in SparkR - Key: SPARK-6805 URL: https://issues.apache.org/jira/browse/SPARK-6805 Project: Spark Issue Type: Umbrella Components: ML, SparkR Reporter: Xiangrui Meng SparkR was merged. So let's have this umbrella JIRA for the ML pipeline API in SparkR. The implementation should be similar to the pipeline API implementation in Python. -- 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-6805) ML Pipeline API in SparkR
[ https://issues.apache.org/jira/browse/SPARK-6805?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiangrui Meng updated SPARK-6805: - Assignee: (was: Xiangrui Meng) ML Pipeline API in SparkR - Key: SPARK-6805 URL: https://issues.apache.org/jira/browse/SPARK-6805 Project: Spark Issue Type: Umbrella Components: ML, SparkR Reporter: Xiangrui Meng SparkR was merged. So let's have this umbrella JIRA for the ML pipeline API in SparkR. The implementation should be similar to the pipeline API implementation in Python. -- 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-6805) ML Pipeline API in SparkR
[ https://issues.apache.org/jira/browse/SPARK-6805?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiangrui Meng updated SPARK-6805: - Target Version/s: 1.5.0 (was: 1.4.0) ML Pipeline API in SparkR - Key: SPARK-6805 URL: https://issues.apache.org/jira/browse/SPARK-6805 Project: Spark Issue Type: Umbrella Components: ML, SparkR Reporter: Xiangrui Meng Assignee: Xiangrui Meng SparkR was merged. So let's have this umbrella JIRA for the ML pipeline API in SparkR. The implementation should be similar to the pipeline API implementation in Python. -- 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