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Nick Pentreath commented on SPARK-7008:
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Is this now going in 1.6 (as per SPARK-10324)? If so is
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Nick Pentreath resolved SPARK-12296.
Resolution: Fixed
Fix Version/s: 2.0.0
> Feature parity for pyspark.mllib
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Nick Pentreath commented on SPARK-12296:
Issue resolved by pull request 10298
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Nick Pentreath updated SPARK-11922:
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Assignee: holdenk
> Python API for ml.feature.QuantileDiscretizer
>
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https://issues.apache.org/jira/browse/SPARK-12182?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath updated SPARK-12182:
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Assignee: Seth Hendrickson
> Distributed binning for trees in spark.ml
>
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Nick Pentreath updated SPARK-12296:
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Assignee: holdenk
> Feature parity for pyspark.mllib StandardScalerModel
>
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Nick Pentreath resolved SPARK-15668.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13411
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Nick Pentreath edited comment on SPARK-14811 at 6/2/16 10:31 PM:
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Nick Pentreath edited comment on SPARK-14811 at 6/2/16 10:31 PM:
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Nick Pentreath commented on SPARK-14811:
Question on this - we seem to be inconsistent with the
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Nick Pentreath resolved SPARK-15139.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12919
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Nick Pentreath updated SPARK-15139:
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Assignee: holdenk
> PySpark TreeEnsemble missing methods
>
Nick Pentreath created SPARK-15746:
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Summary: SchemaUtils.checkColumnType with VectorUDT prints
instance details
Key: SPARK-15746
URL: https://issues.apache.org/jira/browse/SPARK-15746
Project:
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Nick Pentreath updated SPARK-15746:
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Summary: SchemaUtils.checkColumnType with VectorUDT prints instance details
in error message
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Nick Pentreath resolved SPARK-15092.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12919
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Nick Pentreath commented on SPARK-15746:
I'd say hold off on working on it until we decide which
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Nick Pentreath edited comment on SPARK-15447 at 6/3/16 5:22 PM:
Added a
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Nick Pentreath commented on SPARK-14811:
Yes, that does make sense. I will take a pass through
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Nick Pentreath commented on SPARK-15447:
Added a second tab to the sheet for testing DF-based API
Nick Pentreath created SPARK-15788:
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Summary: PySpark IDFModel missing "idf" property
Key: SPARK-15788
URL: https://issues.apache.org/jira/browse/SPARK-15788
Project: Spark
Issue Type:
Nick Pentreath created SPARK-15790:
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Summary: Audit @Since annotations in ML
Key: SPARK-15790
URL: https://issues.apache.org/jira/browse/SPARK-15790
Project: Spark
Issue Type: Documentation
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Nick Pentreath resolved SPARK-15788.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13540
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Nick Pentreath updated SPARK-15168:
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Assignee: holdenk
> Add missing params to Python's MultilayerPerceptronClassifier
>
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Nick Pentreath resolved SPARK-15168.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12943
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Nick Pentreath updated SPARK-15761:
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Assignee: Manoj Kumar
> pyspark shell should load if PYSPARK_DRIVER_PYTHON is ipython an
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Nick Pentreath resolved SPARK-15500.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13277
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Nick Pentreath commented on SPARK-15790:
Ah thanks - missed that umbrella. It's actually really
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Nick Pentreath commented on SPARK-15746:
I think you can go ahead now - I also vote for the
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Nick Pentreath commented on SPARK-15790:
Yes, I've just looked at things in the concrete classes
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Nick Pentreath commented on SPARK-15904:
Could you explain why you're using K>3000 when your
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Nick Pentreath commented on SPARK-15447:
Created a Google sheet with initial results:
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Nick Pentreath commented on SPARK-15575:
What specifically are the "performance issues" with
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Nick Pentreath resolved SPARK-15492.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13266
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Nick Pentreath updated SPARK-15587:
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Assignee: Yanbo Liang
> ML 2.0 QA: Scala APIs audit for feature
>
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Nick Pentreath resolved SPARK-15587.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13410
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Nick Pentreath updated SPARK-15162:
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Assignee: holdenk
> Update PySpark LogisticRegression threshold PyDoc to be as complete as
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Nick Pentreath edited comment on SPARK-14810 at 6/1/16 5:56 PM:
List of
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Nick Pentreath updated SPARK-15668:
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Assignee: yuhao yang
> ml.feature: update check schema to avoid confusion when user use
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Nick Pentreath updated SPARK-15164:
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Assignee: holdenk
> Mark classification algorithms as experimental where marked so in scala
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Nick Pentreath updated SPARK-16063:
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Description: SPARK-11905 added {{cache}}/{{persist}} to {{Dataset}}. We
should add
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Nick Pentreath updated SPARK-16063:
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Summary: Add storageLevel to Dataset (was: Add getStorageLevel to Dataset)
> Add
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Nick Pentreath commented on SPARK-16075:
[~wangmiao1981] SPARK-15746 will probably be superceded
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Nick Pentreath updated SPARK-16127:
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Description: SPARK-14615 converted {{spark.ml}} to use the new
{{Vector}}/{{Matrix}} classes
Nick Pentreath created SPARK-16127:
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Summary: Audit @Since annotations related to ml.linalg
Key: SPARK-16127
URL: https://issues.apache.org/jira/browse/SPARK-16127
Project: Spark
Issue
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Nick Pentreath reassigned SPARK-16127:
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Assignee: Nick Pentreath
> Audit @Since annotations related to ml.linalg
>
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Nick Pentreath edited comment on SPARK-14810 at 6/22/16 9:17 AM:
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List of
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Nick Pentreath resolved SPARK-15164.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12938
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Nick Pentreath resolved SPARK-15162.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12938
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Nick Pentreath edited comment on SPARK-14810 at 6/22/16 9:17 AM:
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List of
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Nick Pentreath commented on SPARK-15447:
Almost there - I'll be able to close this off by Friday
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Nick Pentreath updated SPARK-15997:
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Assignee: Gayathri Murali
> Audit ml.feature Update documentation for ml feature
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Nick Pentreath updated SPARK-15447:
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Description:
We made several changes to ALS in 2.0. It is necessary to run some tests to
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Nick Pentreath commented on SPARK-15501:
It's done - resolved it.
> ML 2.0 QA: Scala APIs audit
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Nick Pentreath resolved SPARK-15447.
Resolution: Fixed
Fix Version/s: 2.0.0
> Performance test for ALS in Spark 2.0
>
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Nick Pentreath commented on SPARK-15447:
Finalized results in the linked Google sheet. Also
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Nick Pentreath updated SPARK-15447:
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Description:
We made several changes to ALS in 2.0. It is necessary to run some tests to
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Nick Pentreath resolved SPARK-15501.
Resolution: Fixed
Fix Version/s: 2.0.0
> ML 2.0 QA: Scala APIs audit for
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Nick Pentreath updated SPARK-16008:
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Assignee: Seth Hendrickson
> ML Logistic Regression aggregator serializes unnecessary data
>
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Nick Pentreath commented on SPARK-15995:
cc [~sethah]
> Gradient Boosted Trees - handling of
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Nick Pentreath reassigned SPARK-10258:
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Assignee: Nick Pentreath (was: Martin Brown)
> Add @Since annotation to ml.feature
>
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Nick Pentreath updated SPARK-10258:
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Assignee: Martin Brown (was: Nick Pentreath)
> Add @Since annotation to ml.feature
>
Nick Pentreath created SPARK-16063:
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Summary: Add getStorageLevel to Dataset
Key: SPARK-16063
URL: https://issues.apache.org/jira/browse/SPARK-16063
Project: Spark
Issue Type: Improvement
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Nick Pentreath resolved SPARK-15997.
Resolution: Fixed
Fix Version/s: 2.0.1
Issue resolved by pull request 13745
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Nick Pentreath commented on SPARK-16149:
I'd generally vote for:
* if it's a new param / model,
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Nick Pentreath commented on SPARK-13289:
[~daiqi5477] could you try your experiments again
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Nick Pentreath commented on SPARK-13026:
[~holdenk] is this JIRA necessary, as it duplicates
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Nick Pentreath resolved SPARK-12632.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11186
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Nick Pentreath updated SPARK-13334:
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Assignee: Yanbo Liang
> ML KMeansModel/BisectingKMeansModel should be set parent
>
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Nick Pentreath resolved SPARK-13334.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11214
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Nick Pentreath updated SPARK-12379:
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Assignee: Seth Hendrickson
> Copy GBT implementation to spark.ml
>
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Nick Pentreath commented on SPARK-13505:
[~holdenk] [~bryanc] [~sethah] any interest in adding
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Nick Pentreath commented on SPARK-13289:
Master branch should be building now. Can you try again?
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Nick Pentreath commented on SPARK-13489:
Do we want to focus on work within core, or also
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Nick Pentreath updated SPARK-13340:
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Assignee: Grzegorz Chilkiewicz
> [ML] PolynomialExpansion and Normalizer should validate
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Nick Pentreath resolved SPARK-12348.
Resolution: Not A Bug
> PySpark _inferSchema crashes with incorrect exception on an empty
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Nick Pentreath updated SPARK-13568:
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Description:
It is quite common to encounter missing values in data sets. It would be useful
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Nick Pentreath updated SPARK-13568:
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Description:
It is quite common to encounter missing values in data sets. It would be useful
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Nick Pentreath commented on SPARK-13517:
Is this not a duplicate of SPARK-13430?
> Expose
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Nick Pentreath resolved SPARK-12633.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11404
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Nick Pentreath updated SPARK-13568:
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Priority: Minor (was: Major)
> Create feature transformer to impute missing values
>
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Nick Pentreath commented on SPARK-12684:
[~srowen] should this be resolved as *Won't Fix*?
>
Nick Pentreath created SPARK-13568:
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Summary: Create feature transformer to impute missing values
Key: SPARK-13568
URL: https://issues.apache.org/jira/browse/SPARK-13568
Project: Spark
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Nick Pentreath commented on SPARK-12348:
I'm not sure this is a bug or even a big deal. The cause
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Nick Pentreath updated SPARK-12806:
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Description:
Use cases exist where a specific index within a {{VectorUDT}} column of a
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Nick Pentreath edited comment on SPARK-12348 at 2/29/16 3:10 PM:
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I'm not
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Nick Pentreath commented on SPARK-13568:
Sure, go ahead. However, taking a quick look at your
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Nick Pentreath commented on SPARK-13289:
Yes the master build is currently failing as detailed in
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Nick Pentreath updated SPARK-12247:
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Assignee: Benjamin Fradet
> Documentation for spark.ml's ALS and collaborative filtering in
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https://issues.apache.org/jira/browse/SPARK-12247?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath updated SPARK-12247:
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Affects Version/s: (was: 1.5.2)
2.0.0
> Documentation for
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https://issues.apache.org/jira/browse/SPARK-12632?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath updated SPARK-12632:
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Assignee: Bryan Cutler (was: somil deshmukh)
> Make Parameter Descriptions Consistent for
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https://issues.apache.org/jira/browse/SPARK-13430?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath updated SPARK-13430:
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Assignee: Bryan Cutler
> Expose ml summary function in PySpark for classification and
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https://issues.apache.org/jira/browse/SPARK-12626?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15188774#comment-15188774
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Nick Pentreath commented on SPARK-12626:
[~dbtsai] ok thanks - would like to take a look when
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https://issues.apache.org/jira/browse/SPARK-13706?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath resolved SPARK-13706.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11547
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https://issues.apache.org/jira/browse/SPARK-13672?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath updated SPARK-13672:
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Shepherd: Nick Pentreath
Assignee: zhengruifeng
> Add python examples of BisectingKMeans
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https://issues.apache.org/jira/browse/SPARK-11108?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath updated SPARK-11108:
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Shepherd: Nick Pentreath
> OneHotEncoder should support other numeric input types
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https://issues.apache.org/jira/browse/SPARK-13629?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath updated SPARK-13629:
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Shepherd: Nick Pentreath
> Add binary toggle Param to CountVectorizer
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https://issues.apache.org/jira/browse/SPARK-13629?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath updated SPARK-13629:
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Assignee: yuhao yang
> Add binary toggle Param to CountVectorizer
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https://issues.apache.org/jira/browse/SPARK-13600?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath updated SPARK-13600:
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Shepherd: Nick Pentreath
> Use approxQuantile from DataFrame stats in QuantileDiscretizer
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https://issues.apache.org/jira/browse/SPARK-11108?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath updated SPARK-11108:
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Assignee: Seth Hendrickson
> OneHotEncoder should support other numeric input types
>
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https://issues.apache.org/jira/browse/SPARK-11108?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath resolved SPARK-11108.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 9777
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