[jira] [Updated] (SPARK-7667) MLlib Python API consistency check
[ https://issues.apache.org/jira/browse/SPARK-7667?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yanbo Liang updated SPARK-7667: --- Description: Check and ensure the MLlib Python API(class/method/parameter) consistent with Scala. The following APIs are not consistent: ** class ** method ** parameter was:Check and ensure the MLlib Python API(class/method/parameter) consistent with Scala. > MLlib Python API consistency check > -- > > Key: SPARK-7667 > URL: https://issues.apache.org/jira/browse/SPARK-7667 > Project: Spark > Issue Type: Task > Components: MLlib, PySpark >Affects Versions: 1.4.0 >Reporter: Yanbo Liang > > Check and ensure the MLlib Python API(class/method/parameter) consistent with > Scala. > The following APIs are not consistent: > ** class > ** method > ** parameter -- 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-7667) MLlib Python API consistency check
[ https://issues.apache.org/jira/browse/SPARK-7667?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yanbo Liang updated SPARK-7667: --- Description: Check and ensure the MLlib Python API(class/method/parameter) consistent with Scala. The following APIs are not consistent: * class * method * parameter was: Check and ensure the MLlib Python API(class/method/parameter) consistent with Scala. The following APIs are not consistent: ** class ** method ** parameter > MLlib Python API consistency check > -- > > Key: SPARK-7667 > URL: https://issues.apache.org/jira/browse/SPARK-7667 > Project: Spark > Issue Type: Task > Components: MLlib, PySpark >Affects Versions: 1.4.0 >Reporter: Yanbo Liang > > Check and ensure the MLlib Python API(class/method/parameter) consistent with > Scala. > The following APIs are not consistent: > * class > * method > * parameter -- 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-7667) MLlib Python API consistency check
[ https://issues.apache.org/jira/browse/SPARK-7667?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yanbo Liang updated SPARK-7667: --- Description: Check and ensure the MLlib Python API(class/method/parameter) consistent with Scala. The following APIs are not consistent: * class * method * parameter ** feature.StandardScaler.fit() was: Check and ensure the MLlib Python API(class/method/parameter) consistent with Scala. The following APIs are not consistent: * class * method * parameter > MLlib Python API consistency check > -- > > Key: SPARK-7667 > URL: https://issues.apache.org/jira/browse/SPARK-7667 > Project: Spark > Issue Type: Task > Components: MLlib, PySpark >Affects Versions: 1.4.0 >Reporter: Yanbo Liang > > Check and ensure the MLlib Python API(class/method/parameter) consistent with > Scala. > The following APIs are not consistent: > * class > * method > * parameter > ** feature.StandardScaler.fit() -- 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-7667) MLlib Python API consistency check
[ https://issues.apache.org/jira/browse/SPARK-7667?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yanbo Liang updated SPARK-7667: --- Description: Check and ensure the MLlib Python API(class/method/parameter) consistent with Scala. The following APIs are not consistent: * class * method * parameter ** feature.StandardScaler.fit() ** many transform() function of feature module was: Check and ensure the MLlib Python API(class/method/parameter) consistent with Scala. The following APIs are not consistent: * class * method * parameter ** feature.StandardScaler.fit() > MLlib Python API consistency check > -- > > Key: SPARK-7667 > URL: https://issues.apache.org/jira/browse/SPARK-7667 > Project: Spark > Issue Type: Task > Components: MLlib, PySpark >Affects Versions: 1.4.0 >Reporter: Yanbo Liang > > Check and ensure the MLlib Python API(class/method/parameter) consistent with > Scala. > The following APIs are not consistent: > * class > * method > * parameter > ** feature.StandardScaler.fit() > ** many transform() function of feature module -- 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-7667) MLlib Python API consistency check
[ https://issues.apache.org/jira/browse/SPARK-7667?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yanbo Liang updated SPARK-7667: --- Description: Check and ensure the MLlib Python API(class/method/parameter) consistent with Scala. The following APIs are not consistent: * class * method ** recommendation.MatrixFactorizationModel.predictAll() * parameter ** feature.StandardScaler.fit() ** many transform() function of feature module was: Check and ensure the MLlib Python API(class/method/parameter) consistent with Scala. The following APIs are not consistent: * class * method * parameter ** feature.StandardScaler.fit() ** many transform() function of feature module > MLlib Python API consistency check > -- > > Key: SPARK-7667 > URL: https://issues.apache.org/jira/browse/SPARK-7667 > Project: Spark > Issue Type: Task > Components: MLlib, PySpark >Affects Versions: 1.4.0 >Reporter: Yanbo Liang > > Check and ensure the MLlib Python API(class/method/parameter) consistent with > Scala. > The following APIs are not consistent: > * class > * method > ** recommendation.MatrixFactorizationModel.predictAll() > * parameter > ** feature.StandardScaler.fit() > ** many transform() function of feature module -- 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-7667) MLlib Python API consistency check
[ https://issues.apache.org/jira/browse/SPARK-7667?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yanbo Liang updated SPARK-7667: --- Description: Check and ensure the MLlib Python API(class/method/parameter) consistent with Scala. The following APIs are not consistent: * class * method ** recommendation.MatrixFactorizationModel.predictAll() (Because it's a public API, so not change it) * parameter ** feature.StandardScaler.fit() ** many transform() function of feature module was: Check and ensure the MLlib Python API(class/method/parameter) consistent with Scala. The following APIs are not consistent: * class * method ** recommendation.MatrixFactorizationModel.predictAll() * parameter ** feature.StandardScaler.fit() ** many transform() function of feature module > MLlib Python API consistency check > -- > > Key: SPARK-7667 > URL: https://issues.apache.org/jira/browse/SPARK-7667 > Project: Spark > Issue Type: Task > Components: MLlib, PySpark >Affects Versions: 1.4.0 >Reporter: Yanbo Liang > > Check and ensure the MLlib Python API(class/method/parameter) consistent with > Scala. > The following APIs are not consistent: > * class > * method > ** recommendation.MatrixFactorizationModel.predictAll() (Because it's a > public API, so not change it) > * parameter > ** feature.StandardScaler.fit() > ** many transform() function of feature module -- 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-7667) MLlib Python API consistency check
[ https://issues.apache.org/jira/browse/SPARK-7667?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joseph K. Bradley updated SPARK-7667: - Assignee: Yanbo Liang > MLlib Python API consistency check > -- > > Key: SPARK-7667 > URL: https://issues.apache.org/jira/browse/SPARK-7667 > Project: Spark > Issue Type: Task > Components: MLlib, PySpark >Affects Versions: 1.4.0 >Reporter: Yanbo Liang >Assignee: Yanbo Liang > > Check and ensure the MLlib Python API(class/method/parameter) consistent with > Scala. > The following APIs are not consistent: > * class > * method > ** recommendation.MatrixFactorizationModel.predictAll() (Because it's a > public API, so not change it) > * parameter > ** feature.StandardScaler.fit() > ** many transform() function of feature module -- 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
