[jira] [Updated] (SPARK-20498) RandomForestRegressionModel should expose getMaxDepth in PySpark
[ https://issues.apache.org/jira/browse/SPARK-20498?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joseph K. Bradley updated SPARK-20498: -- Target Version/s: (was: 2.4.0) > RandomForestRegressionModel should expose getMaxDepth in PySpark > > > Key: SPARK-20498 > URL: https://issues.apache.org/jira/browse/SPARK-20498 > Project: Spark > Issue Type: Improvement > Components: ML, PySpark >Affects Versions: 2.1.0 >Reporter: Nick Lothian >Assignee: Xin Ren >Priority: Minor > > Currently it isn't clear hot to get the max depth of a > RandomForestRegressionModel (eg, after doing a grid search) > It is possible to call > {{regressor._java_obj.getMaxDepth()}} > but most other decision trees allow > {{regressor.getMaxDepth()}} -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-20498) RandomForestRegressionModel should expose getMaxDepth in PySpark
[ https://issues.apache.org/jira/browse/SPARK-20498?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joseph K. Bradley updated SPARK-20498: -- Shepherd: (was: Joseph K. Bradley) > RandomForestRegressionModel should expose getMaxDepth in PySpark > > > Key: SPARK-20498 > URL: https://issues.apache.org/jira/browse/SPARK-20498 > Project: Spark > Issue Type: Improvement > Components: ML, PySpark >Affects Versions: 2.1.0 >Reporter: Nick Lothian >Assignee: Xin Ren >Priority: Minor > > Currently it isn't clear hot to get the max depth of a > RandomForestRegressionModel (eg, after doing a grid search) > It is possible to call > {{regressor._java_obj.getMaxDepth()}} > but most other decision trees allow > {{regressor.getMaxDepth()}} -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-20498) RandomForestRegressionModel should expose getMaxDepth in PySpark
[ https://issues.apache.org/jira/browse/SPARK-20498?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joseph K. Bradley updated SPARK-20498: -- Target Version/s: 2.4.0 (was: 2.3.0) > RandomForestRegressionModel should expose getMaxDepth in PySpark > > > Key: SPARK-20498 > URL: https://issues.apache.org/jira/browse/SPARK-20498 > Project: Spark > Issue Type: Improvement > Components: ML, PySpark >Affects Versions: 2.1.0 >Reporter: Nick Lothian >Assignee: Xin Ren >Priority: Minor > > Currently it isn't clear hot to get the max depth of a > RandomForestRegressionModel (eg, after doing a grid search) > It is possible to call > {{regressor._java_obj.getMaxDepth()}} > but most other decision trees allow > {{regressor.getMaxDepth()}} -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-20498) RandomForestRegressionModel should expose getMaxDepth in PySpark
[ https://issues.apache.org/jira/browse/SPARK-20498?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joseph K. Bradley updated SPARK-20498: -- Shepherd: Joseph K. Bradley > RandomForestRegressionModel should expose getMaxDepth in PySpark > > > Key: SPARK-20498 > URL: https://issues.apache.org/jira/browse/SPARK-20498 > Project: Spark > Issue Type: Improvement > Components: ML, PySpark >Affects Versions: 2.1.0 >Reporter: Nick Lothian >Assignee: Xin Ren >Priority: Minor > > Currently it isn't clear hot to get the max depth of a > RandomForestRegressionModel (eg, after doing a grid search) > It is possible to call > {{regressor._java_obj.getMaxDepth()}} > but most other decision trees allow > {{regressor.getMaxDepth()}} -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-20498) RandomForestRegressionModel should expose getMaxDepth in PySpark
[ https://issues.apache.org/jira/browse/SPARK-20498?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xin Ren updated SPARK-20498: Sure please go ahead On Fri, May 26, 2017 at 12:55 AM Yan Facai (颜发才) (JIRA)> RandomForestRegressionModel should expose getMaxDepth in PySpark > > > Key: SPARK-20498 > URL: https://issues.apache.org/jira/browse/SPARK-20498 > Project: Spark > Issue Type: Improvement > Components: ML, PySpark >Affects Versions: 2.1.0 >Reporter: Nick Lothian >Assignee: Xin Ren >Priority: Minor > > Currently it isn't clear hot to get the max depth of a > RandomForestRegressionModel (eg, after doing a grid search) > It is possible to call > {{regressor._java_obj.getMaxDepth()}} > but most other decision trees allow > {{regressor.getMaxDepth()}} -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-20498) RandomForestRegressionModel should expose getMaxDepth in PySpark
[ https://issues.apache.org/jira/browse/SPARK-20498?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joseph K. Bradley updated SPARK-20498: -- Target Version/s: 2.3.0 (was: 2.2.0) > RandomForestRegressionModel should expose getMaxDepth in PySpark > > > Key: SPARK-20498 > URL: https://issues.apache.org/jira/browse/SPARK-20498 > Project: Spark > Issue Type: Improvement > Components: ML, PySpark >Affects Versions: 2.1.0 >Reporter: Nick Lothian >Assignee: Xin Ren >Priority: Minor > > Currently it isn't clear hot to get the max depth of a > RandomForestRegressionModel (eg, after doing a grid search) > It is possible to call > {{regressor._java_obj.getMaxDepth()}} > but most other decision trees allow > {{regressor.getMaxDepth()}} -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-20498) RandomForestRegressionModel should expose getMaxDepth in PySpark
[ https://issues.apache.org/jira/browse/SPARK-20498?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joseph K. Bradley updated SPARK-20498: -- Component/s: (was: SparkR) > RandomForestRegressionModel should expose getMaxDepth in PySpark > > > Key: SPARK-20498 > URL: https://issues.apache.org/jira/browse/SPARK-20498 > Project: Spark > Issue Type: Improvement > Components: ML, PySpark >Affects Versions: 2.1.0 >Reporter: Nick Lothian >Assignee: Xin Ren >Priority: Minor > > Currently it isn't clear hot to get the max depth of a > RandomForestRegressionModel (eg, after doing a grid search) > It is possible to call > {{regressor._java_obj.getMaxDepth()}} > but most other decision trees allow > {{regressor.getMaxDepth()}} -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org