[jira] [Commented] (SPARK-12664) Expose raw prediction scores in MultilayerPerceptronClassificationModel

[ https://issues.apache.org/jira/browse/SPARK-12664?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15572545#comment-15572545 ] Gayathri Murali commented on SPARK-12664: - [~yanboliang] I am not working on this. Please feel

[jira] [Commented] (SPARK-17135) Consolidate code in linear/logistic regression where possible

[ https://issues.apache.org/jira/browse/SPARK-17135?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15428401#comment-15428401 ] Gayathri Murali commented on SPARK-17135: - I can work on this > Consolidate code in

[jira] [Commented] (SPARK-16838) Add PMML export for ML KMeans in PySpark

[ https://issues.apache.org/jira/browse/SPARK-16838?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15404591#comment-15404591 ] Gayathri Murali commented on SPARK-16838: - I can work on this > Add PMML export for ML KMeans in

[jira] [Commented] (SPARK-16240) model loading backward compatibility for ml.clustering.LDA

[ https://issues.apache.org/jira/browse/SPARK-16240?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15365533#comment-15365533 ] Gayathri Murali commented on SPARK-16240: - I can work on this > model loading backward

[jira] [Commented] (SPARK-16000) Make model loading backward compatible with saved models using old vector columns

[ https://issues.apache.org/jira/browse/SPARK-16000?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15343235#comment-15343235 ] Gayathri Murali commented on SPARK-16000: - [~yuhaoyan] I can help with this. > Make model

[jira] [Commented] (SPARK-15997) Audit ml.feature Update documentation for ml feature transformers

[ https://issues.apache.org/jira/browse/SPARK-15997?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15337335#comment-15337335 ] Gayathri Murali commented on SPARK-15997: - https://github.com/apache/spark/pull/13745 - This is

[jira] [Created] (SPARK-15997) Audit ml.feature Update documentation for ml feature transformers

Gayathri Murali created SPARK-15997: --- Summary: Audit ml.feature Update documentation for ml feature transformers Key: SPARK-15997 URL: https://issues.apache.org/jira/browse/SPARK-15997 Project:

[jira] [Commented] (SPARK-15930) Add Row count property to FPGrowth model

[ https://issues.apache.org/jira/browse/SPARK-15930?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15332588#comment-15332588 ] Gayathri Murali commented on SPARK-15930: - [~yuhaoyan] If you havent already started working on

[jira] [Commented] (SPARK-15785) Add initialModel param to Gaussian Mixture Model (GMM) in spark.ml

[ https://issues.apache.org/jira/browse/SPARK-15785?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15319100#comment-15319100 ] Gayathri Murali commented on SPARK-15785: - I will work on this. Thanks! > Add initialModel param

[jira] [Issue Comment Deleted] (SPARK-14381) Review spark.ml parity for feature transformers

[ https://issues.apache.org/jira/browse/SPARK-14381?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Gayathri Murali updated SPARK-14381: Comment: was deleted (was: I will work on this) > Review spark.ml parity for feature

[jira] [Issue Comment Deleted] (SPARK-15041) adding mode strategy for ml.feature.Imputer for categorical features

[ https://issues.apache.org/jira/browse/SPARK-15041?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Gayathri Murali updated SPARK-15041: Comment: was deleted (was: I can work on this) > adding mode strategy for

[jira] [Issue Comment Deleted] (SPARK-15201) Handle integer overflow correctly in hash code computation

[ https://issues.apache.org/jira/browse/SPARK-15201?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Gayathri Murali updated SPARK-15201: Comment: was deleted (was: I can work on this ) > Handle integer overflow correctly in

[jira] [Commented] (SPARK-14381) Review spark.ml parity for feature transformers

[ https://issues.apache.org/jira/browse/SPARK-14381?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15309112#comment-15309112 ] Gayathri Murali commented on SPARK-14381: - I will work on this > Review spark.ml parity for

[jira] [Commented] (SPARK-15672) R programming guide update

[ https://issues.apache.org/jira/browse/SPARK-15672?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15309100#comment-15309100 ] Gayathri Murali commented on SPARK-15672: - [~shivaram] I am working on changing R documentation

[jira] [Comment Edited] (SPARK-15442) PySpark QuantileDiscretizer missing "relativeError" param

[ https://issues.apache.org/jira/browse/SPARK-15442?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15293767#comment-15293767 ] Gayathri Murali edited comment on SPARK-15442 at 5/20/16 5:26 PM: --

[jira] [Commented] (SPARK-15442) PySpark QuantileDiscretizer missing "relativeError" param

[ https://issues.apache.org/jira/browse/SPARK-15442?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15293767#comment-15293767 ] Gayathri Murali commented on SPARK-15442: - [~mlnick] I am working on 15100. I am just about

[jira] [Commented] (SPARK-15442) PySpark QuantileDiscretizer missing "relativeError" param

[ https://issues.apache.org/jira/browse/SPARK-15442?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15293731#comment-15293731 ] Gayathri Murali commented on SPARK-15442: - I will help with this. > PySpark QuantileDiscretizer

[jira] [Commented] (SPARK-15098) Audit: ml.classification

[ https://issues.apache.org/jira/browse/SPARK-15098?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15290025#comment-15290025 ] Gayathri Murali commented on SPARK-15098: - [~yanboliang] Are you working on this? > Audit:

[jira] [Commented] (SPARK-15194) Add Python ML API for MultivariateGaussian

[ https://issues.apache.org/jira/browse/SPARK-15194?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15290007#comment-15290007 ] Gayathri Murali commented on SPARK-15194: - [~holdenk] I see that mllib/stat/distribution.py has

[jira] [Commented] (SPARK-15100) Audit: ml.feature

[ https://issues.apache.org/jira/browse/SPARK-15100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15289513#comment-15289513 ] Gayathri Murali commented on SPARK-15100: - While making changes to CountVectorizer, HashingTF and

[jira] [Comment Edited] (SPARK-15100) Audit: ml.feature

[ https://issues.apache.org/jira/browse/SPARK-15100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15289513#comment-15289513 ] Gayathri Murali edited comment on SPARK-15100 at 5/18/16 6:25 PM: -- While

[jira] [Commented] (SPARK-15100) Audit: ml.feature

[ https://issues.apache.org/jira/browse/SPARK-15100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15289394#comment-15289394 ] Gayathri Murali commented on SPARK-15100: - [~bryanc] I have the PR ready for Countvectorizer,

[jira] [Commented] (SPARK-15254) Improve ML pipeline Cross Validation Scaladoc & PyDoc

[ https://issues.apache.org/jira/browse/SPARK-15254?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15288505#comment-15288505 ] Gayathri Murali commented on SPARK-15254: - I can work on this > Improve ML pipeline Cross

[jira] [Commented] (SPARK-15129) Clarify conventions for calling Spark and MLlib from R

[ https://issues.apache.org/jira/browse/SPARK-15129?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15283209#comment-15283209 ] Gayathri Murali commented on SPARK-15129: - ||API Change||User Guide updated|| |Family and Link

[jira] [Commented] (SPARK-15129) Clarify conventions for calling Spark and MLlib from R

[ https://issues.apache.org/jira/browse/SPARK-15129?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15281698#comment-15281698 ] Gayathri Murali commented on SPARK-15129: - I can work on this > Clarify conventions for calling

[jira] [Commented] (SPARK-15201) Handle integer overflow correctly in hash code computation

[ https://issues.apache.org/jira/browse/SPARK-15201?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15281679#comment-15281679 ] Gayathri Murali commented on SPARK-15201: - I can work on this > Handle integer overflow

[jira] [Commented] (SPARK-15041) adding mode strategy for ml.feature.Imputer for categorical features

[ https://issues.apache.org/jira/browse/SPARK-15041?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15265411#comment-15265411 ] Gayathri Murali commented on SPARK-15041: - I can work on this > adding mode strategy for

[jira] [Commented] (SPARK-14894) Python GaussianMixture summary

[ https://issues.apache.org/jira/browse/SPARK-14894?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15257006#comment-15257006 ] Gayathri Murali commented on SPARK-14894: - [~wangmiao1981] I have PR ready for this. If you are

[jira] [Commented] (SPARK-14314) K-means model persistence in SparkR

[ https://issues.apache.org/jira/browse/SPARK-14314?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15253227#comment-15253227 ] Gayathri Murali commented on SPARK-14314: - [~mengxr] Yes. > K-means model persistence in SparkR

[jira] [Commented] (SPARK-14314) K-means model persistence in SparkR

[ https://issues.apache.org/jira/browse/SPARK-14314?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15252259#comment-15252259 ] Gayathri Murali commented on SPARK-14314: - I am working on this > K-means model persistence in

[jira] [Commented] (SPARK-14315) GLMs model persistence in SparkR

[ https://issues.apache.org/jira/browse/SPARK-14315?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15252260#comment-15252260 ] Gayathri Murali commented on SPARK-14315: - I am working on this > GLMs model persistence in

[jira] [Commented] (SPARK-14712) spark.ml LogisticRegressionModel.toString should summarize model

[ https://issues.apache.org/jira/browse/SPARK-14712?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15246600#comment-15246600 ] Gayathri Murali commented on SPARK-14712: - _repr_ is defined for LabeledPoint and LinearModel in

[jira] [Commented] (SPARK-14604) Modify design of ML model summaries

[ https://issues.apache.org/jira/browse/SPARK-14604?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15246489#comment-15246489 ] Gayathri Murali commented on SPARK-14604: - [~josephkb] I see that LogisticRegression has a

[jira] [Comment Edited] (SPARK-14503) spark.ml API for FPGrowth

[ https://issues.apache.org/jira/browse/SPARK-14503?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15237407#comment-15237407 ] Gayathri Murali edited comment on SPARK-14503 at 4/12/16 3:44 PM: --

[jira] [Commented] (SPARK-14503) spark.ml API for FPGrowth

[ https://issues.apache.org/jira/browse/SPARK-14503?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15237407#comment-15237407 ] Gayathri Murali commented on SPARK-14503: - [~josephkb] [~yuhaoyan] and I can work on this. Will

[jira] [Commented] (SPARK-13783) Model export/import for spark.ml: GBTs

[ https://issues.apache.org/jira/browse/SPARK-13783?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15212442#comment-15212442 ] Gayathri Murali commented on SPARK-13783: - Thanks [~josephkb]. I can go first, as I am almost

[jira] [Commented] (SPARK-13783) Model export/import for spark.ml: GBTs

[ https://issues.apache.org/jira/browse/SPARK-13783?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15211407#comment-15211407 ] Gayathri Murali commented on SPARK-13783: - [~yanboliang] I am working on Random Forest and I have

[jira] [Comment Edited] (SPARK-13733) Support initial weight distribution in personalized PageRank

[ https://issues.apache.org/jira/browse/SPARK-13733?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15207219#comment-15207219 ] Gayathri Murali edited comment on SPARK-13733 at 3/22/16 8:28 PM: --

[jira] [Commented] (SPARK-13733) Support initial weight distribution in personalized PageRank

[ https://issues.apache.org/jira/browse/SPARK-13733?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15207219#comment-15207219 ] Gayathri Murali commented on SPARK-13733: - [~mengxr] [~dwmclary]

[jira] [Issue Comment Deleted] (SPARK-13733) Support initial weight distribution in personalized PageRank

[ https://issues.apache.org/jira/browse/SPARK-13733?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Gayathri Murali updated SPARK-13733: Comment: was deleted (was: [~mengxr] Should the rest of the vertices also be set to

[jira] [Commented] (SPARK-13733) Support initial weight distribution in personalized PageRank

[ https://issues.apache.org/jira/browse/SPARK-13733?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15198327#comment-15198327 ] Gayathri Murali commented on SPARK-13733: - [~mengxr] Should the rest of the vertices also be set

[jira] [Commented] (SPARK-13949) PySpark ml DecisionTreeClassifier, Regressor support export/import

[ https://issues.apache.org/jira/browse/SPARK-13949?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15198240#comment-15198240 ] Gayathri Murali commented on SPARK-13949: - I can work on this > PySpark ml

[jira] [Commented] (SPARK-13784) Model export/import for spark.ml: RandomForests

[ https://issues.apache.org/jira/browse/SPARK-13784?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15192537#comment-15192537 ] Gayathri Murali commented on SPARK-13784: - I can work on this, if no one else has started >

[jira] [Commented] (SPARK-12664) Expose raw prediction scores in MultilayerPerceptronClassificationModel

[ https://issues.apache.org/jira/browse/SPARK-12664?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15186074#comment-15186074 ] Gayathri Murali commented on SPARK-12664: - [~yanboliang] Are you working on this? If not, Can I

[jira] [Commented] (SPARK-13733) Support initial weight distribution in personalized PageRank

[ https://issues.apache.org/jira/browse/SPARK-13733?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15185945#comment-15185945 ] Gayathri Murali commented on SPARK-13733: - I can work on this > Support initial weight

[jira] [Commented] (SPARK-13641) getModelFeatures of ml.api.r.SparkRWrapper cannot (always) reveal the original column names

[ https://issues.apache.org/jira/browse/SPARK-13641?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15181819#comment-15181819 ] Gayathri Murali commented on SPARK-13641: - [~xusen] Can you list the steps to reproduce the bug?

[jira] [Issue Comment Deleted] (SPARK-13073) creating R like summary for logistic Regression in Spark - Scala

[ https://issues.apache.org/jira/browse/SPARK-13073?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Gayathri Murali updated SPARK-13073: Comment: was deleted (was: I can work on this, can you please assign it to me?) >

[jira] [Commented] (SPARK-13641) getModelFeatures of ml.api.r.SparkRWrapper cannot (always) reveal the original column names

[ https://issues.apache.org/jira/browse/SPARK-13641?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15181369#comment-15181369 ] Gayathri Murali commented on SPARK-13641: - Yes, it looks intentional to carry metadata. There are

[jira] [Commented] (SPARK-13641) getModelFeatures of ml.api.r.SparkRWrapper cannot (always) reveal the original column names

[ https://issues.apache.org/jira/browse/SPARK-13641?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15179241#comment-15179241 ] Gayathri Murali commented on SPARK-13641: - [~xusen] I can remove c_feature from Vector Assembler

[jira] [Commented] (SPARK-13629) Add binary toggle Param to CountVectorizer

[ https://issues.apache.org/jira/browse/SPARK-13629?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15179180#comment-15179180 ] Gayathri Murali commented on SPARK-13629: - [~josephkb] In the case of discrete probabilistic

[jira] [Commented] (SPARK-13641) getModelFeatures of ml.api.r.SparkRWrapper cannot (always) reveal the original column names

[ https://issues.apache.org/jira/browse/SPARK-13641?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15178517#comment-15178517 ] Gayathri Murali commented on SPARK-13641: - I can work on this. Can you please assign it to me >

[jira] [Commented] (SPARK-13025) Allow user to specify the initial model when training LogisticRegression

[ https://issues.apache.org/jira/browse/SPARK-13025?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15175006#comment-15175006 ] Gayathri Murali commented on SPARK-13025: - https://github.com/apache/spark/pull/11459 > Allow

[jira] [Issue Comment Deleted] (SPARK-13025) Allow user to specify the initial model when training LogisticRegression

[ https://issues.apache.org/jira/browse/SPARK-13025?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Gayathri Murali updated SPARK-13025: Comment: was deleted (was: PR : https://github.com/apache/spark/pull/11458) > Allow user

[jira] [Commented] (SPARK-13025) Allow user to specify the initial model when training LogisticRegression

[ https://issues.apache.org/jira/browse/SPARK-13025?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15174983#comment-15174983 ] Gayathri Murali commented on SPARK-13025: - PR : https://github.com/apache/spark/pull/11458 >

[jira] [Commented] (SPARK-13073) creating R like summary for logistic Regression in Spark - Scala

[ https://issues.apache.org/jira/browse/SPARK-13073?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15174943#comment-15174943 ] Gayathri Murali commented on SPARK-13073: - I can work on this, can you please assign it to me? >

[jira] [Comment Edited] (SPARK-6160) ChiSqSelector should keep test statistic info

[ https://issues.apache.org/jira/browse/SPARK-6160?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15173163#comment-15173163 ] Gayathri Murali edited comment on SPARK-6160 at 3/1/16 3:57 AM:

[jira] [Comment Edited] (SPARK-6160) ChiSqSelector should keep test statistic info

[ https://issues.apache.org/jira/browse/SPARK-6160?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15173163#comment-15173163 ] Gayathri Murali edited comment on SPARK-6160 at 3/1/16 3:53 AM:

[jira] [Commented] (SPARK-6160) ChiSqSelector should keep test statistic info

[ https://issues.apache.org/jira/browse/SPARK-6160?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15173163#comment-15173163 ] Gayathri Murali commented on SPARK-6160: [~josephkb] Should the test statistics result be stored

[jira] [Commented] (SPARK-6160) ChiSqSelector should keep test statistic info

[ https://issues.apache.org/jira/browse/SPARK-6160?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15166419#comment-15166419 ] Gayathri Murali commented on SPARK-6160: Is anyone working on this? If not, I can. >

[jira] [Commented] (SPARK-13396) Stop using our internal deprecated .metrics on ExceptionFailure instead use accumUpdates

[ https://issues.apache.org/jira/browse/SPARK-13396?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15163925#comment-15163925 ] Gayathri Murali commented on SPARK-13396: - I can work on this > Stop using our internal

[jira] [Commented] (SPARK-13174) Add API and options for csv data sources

[ https://issues.apache.org/jira/browse/SPARK-13174?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15139900#comment-15139900 ] Gayathri Murali commented on SPARK-13174: - There is already a way to read CSV files by specifying

[jira] [Commented] (SPARK-12729) phantom references to replace the finalize call in python broadcast

[ https://issues.apache.org/jira/browse/SPARK-12729?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15127164#comment-15127164 ] Gayathri Murali commented on SPARK-12729: - I can work on this, if no one else is. > phantom

[jira] [Comment Edited] (SPARK-12729) phantom references to replace the finalize call in python broadcast

[ https://issues.apache.org/jira/browse/SPARK-12729?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15127164#comment-15127164 ] Gayathri Murali edited comment on SPARK-12729 at 2/1/16 11:28 PM: -- I can

[jira] [Commented] (SPARK-12436) If all values of a JSON field is null, JSON's inferSchema should return NullType instead of StringType

[ https://issues.apache.org/jira/browse/SPARK-12436?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15066743#comment-15066743 ] Gayathri Murali commented on SPARK-12436: - I can work on this > If all values of a JSON field is

[jira] [Commented] (SPARK-5818) unable to use "add jar" in hql

[ https://issues.apache.org/jira/browse/SPARK-5818?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14966065#comment-14966065 ] Gayathri Murali commented on SPARK-5818: I am trying to use add jar command on Spark 1.5 and run

[jira] [Commented] (SPARK-10954) Parquet version in the "created_by" metadata field of Parquet files written by Spark 1.5 and 1.6 is wrong

[ https://issues.apache.org/jira/browse/SPARK-10954?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14946026#comment-14946026 ] Gayathri Murali commented on SPARK-10954: - I can work on this > Parquet version in the

[jira] [Commented] (SPARK-7448) Implement custom bye array serializer for use in PySpark shuffle

[ https://issues.apache.org/jira/browse/SPARK-7448?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14940133#comment-14940133 ] Gayathri Murali commented on SPARK-7448: Is anyone working on this ? If not, I would like to work

[jira] [Commented] (SPARK-7218) Create a real iterator with open/close for Spark SQL

[ https://issues.apache.org/jira/browse/SPARK-7218?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14940116#comment-14940116 ] Gayathri Murali commented on SPARK-7218: Is anyone working on this? If not, I would like to work

[jira] [Commented] (SPARK-10688) Python API for AFTSurvivalRegression

[ https://issues.apache.org/jira/browse/SPARK-10688?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14933597#comment-14933597 ] Gayathri Murali commented on SPARK-10688: - Sure, will do > Python API for AFTSurvivalRegression

[jira] [Commented] (SPARK-10688) Python API for AFTSurvivalRegression

[ https://issues.apache.org/jira/browse/SPARK-10688?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14906583#comment-14906583 ] Gayathri Murali commented on SPARK-10688: - I started working on it as well. Since there isnt a

[jira] [Commented] (SPARK-7425) spark.ml Predictor should support other numeric types for label

[ https://issues.apache.org/jira/browse/SPARK-7425?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14734070#comment-14734070 ] Gayathri Murali commented on SPARK-7425: Has this been fixed? If not, I am starting out and would

[jira] [Commented] (SPARK-10380) Confusing examples in pyspark SQL docs

[ https://issues.apache.org/jira/browse/SPARK-10380?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14733993#comment-14733993 ] Gayathri Murali commented on SPARK-10380: - Is anyone working on this already? If not, I would