[jira] [Updated] (SPARK-6258) Python MLlib API missing items: Clustering
[ https://issues.apache.org/jira/browse/SPARK-6258?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joseph K. Bradley updated SPARK-6258: - Fix Version/s: 1.4.0 Python MLlib API missing items: Clustering -- Key: SPARK-6258 URL: https://issues.apache.org/jira/browse/SPARK-6258 Project: Spark Issue Type: Sub-task Components: MLlib, PySpark Affects Versions: 1.3.0 Reporter: Joseph K. Bradley Assignee: Yanbo Liang Fix For: 1.4.0 This JIRA lists items missing in the Python API for this sub-package of MLlib. This list may be incomplete, so please check again when sending a PR to add these features to the Python API. Also, please check for major disparities between documentation; some parts of the Python API are less well-documented than their Scala counterparts. Some items may be listed in the umbrella JIRA linked to this task. KMeans * setEpsilon * setInitializationSteps KMeansModel * computeCost * k GaussianMixture * setInitialModel GaussianMixtureModel * k Completely missing items which should be fixed in separate JIRAs (which have been created and linked to the umbrella JIRA) * LDA * PowerIterationClustering * StreamingKMeans -- 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-6258) Python MLlib API missing items: Clustering
[ https://issues.apache.org/jira/browse/SPARK-6258?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xiangrui Meng updated SPARK-6258: - Assignee: Yanbo Liang Python MLlib API missing items: Clustering -- Key: SPARK-6258 URL: https://issues.apache.org/jira/browse/SPARK-6258 Project: Spark Issue Type: Sub-task Components: MLlib, PySpark Affects Versions: 1.3.0 Reporter: Joseph K. Bradley Assignee: Yanbo Liang This JIRA lists items missing in the Python API for this sub-package of MLlib. This list may be incomplete, so please check again when sending a PR to add these features to the Python API. Also, please check for major disparities between documentation; some parts of the Python API are less well-documented than their Scala counterparts. Some items may be listed in the umbrella JIRA linked to this task. KMeans * setEpsilon * setInitializationSteps KMeansModel * computeCost * k GaussianMixture * setInitialModel GaussianMixtureModel * k Completely missing items which should be fixed in separate JIRAs (which have been created and linked to the umbrella JIRA) * LDA * PowerIterationClustering * StreamingKMeans -- 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
