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Xiangrui Meng updated SPARK-4588:
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Description:
Feature attributes, e.g., continuous/categorical, feature names, feature
dimension,
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https://issues.apache.org/jira/browse/SPARK-6137?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-6137:
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Labels: clustering (was: )
> G-Means clustering algorithm implementation
> --
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https://issues.apache.org/jira/browse/SPARK-5692?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-5692:
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Assignee: ANUPAM MEDIRATTA
> Model import/export for Word2Vec
>
>
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Xiangrui Meng commented on SPARK-5692:
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Done. The Parquet data file should have two c
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Xiangrui Meng resolved SPARK-6090.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 4863
[https://githu
Xiangrui Meng created SPARK-6192:
Summary: Enhance MLlib's Python API (GSoC 2015)
Key: SPARK-6192
URL: https://issues.apache.org/jira/browse/SPARK-6192
Project: Spark
Issue Type: Umbrella
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Xiangrui Meng updated SPARK-6192:
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Labels: gsoc gsoc2015 mentor (was: gsoc gsoc2015)
> Enhance MLlib's Python API (GSoC 2015)
>
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https://issues.apache.org/jira/browse/SPARK-6095?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-6095:
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Assignee: Yanbo Liang
> Support model save/load in Python's linear models
> --
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Xiangrui Meng updated SPARK-6095:
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Target Version/s: 1.4.0
> Support model save/load in Python's linear models
>
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Xiangrui Meng commented on SPARK-6192:
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[~Manglano] and [~leckie-chn] Thanks for your
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Xiangrui Meng resolved SPARK-4355.
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Resolution: Fixed
Target Version/s: 1.2.0, 1.1.1, 1.0.3 (was: 1.1.1, 1.2.0, 1.0.3)
>
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Xiangrui Meng updated SPARK-4355:
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Fix Version/s: 1.0.3
> OnlineSummarizer doesn't merge mean correctly
> ---
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Xiangrui Meng commented on SPARK-3278:
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I don't know any. It really depends on how ma
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Xiangrui Meng commented on SPARK-6234:
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[~nravi] Which KMeans implementation did you
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Xiangrui Meng commented on SPARK-6234:
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[~nravi] This seems to be a regression in Bre
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https://issues.apache.org/jira/browse/SPARK-6244?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14355337#comment-14355337
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Xiangrui Meng commented on SPARK-6244:
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Agree with Sean that this is not a vector spa
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https://issues.apache.org/jira/browse/SPARK-5986?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-5986.
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Resolution: Fixed
Fix Version/s: 1.4.0
> Model import/export for KMeansModel
> --
Xiangrui Meng created SPARK-6278:
Summary: Mention the change of step size in the migration guide
Key: SPARK-6278
URL: https://issues.apache.org/jira/browse/SPARK-6278
Project: Spark
Issue Ty
Xiangrui Meng created SPARK-6288:
Summary: Pyrolite calls hashCode to cache previously serialized
objects
Key: SPARK-6288
URL: https://issues.apache.org/jira/browse/SPARK-6288
Project: Spark
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Xiangrui Meng reopened SPARK-5186:
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Re-opened this issue for branch-1.2.
> Vector.equals and Vector.hashCode are very inefficient and
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Xiangrui Meng updated SPARK-5186:
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Target Version/s: 1.1.2, 1.2.2
Affects Version/s: 1.1.1
1.2.1
> Vector
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Xiangrui Meng updated SPARK-6294:
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Target Version/s: 1.2.2, 1.4.0, 1.3.1 (was: 1.2.2, 1.3.1)
> PySpark task may hang while call take
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Xiangrui Meng updated SPARK-6294:
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Fix Version/s: 1.3.1
1.4.0
> PySpark task may hang while call take() on in Java
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https://issues.apache.org/jira/browse/SPARK-5814?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-5814.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 4699
[https://githu
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Xiangrui Meng resolved SPARK-5186.
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Resolution: Fixed
Fix Version/s: (was: 1.3.0)
1.2.2
Issue resolved
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https://issues.apache.org/jira/browse/SPARK-4001?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-4001:
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Summary: Add FP-growth algorithm to Spark MLlib (was: Add Apriori
algorithm to Spark MLlib)
> Ad
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https://issues.apache.org/jira/browse/SPARK-3424?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14359241#comment-14359241
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Xiangrui Meng commented on SPARK-3424:
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Ah, sorry! I typed your email manually in the
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Xiangrui Meng resolved SPARK-6268.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 4974
[https://githu
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Xiangrui Meng resolved SPARK-6294.
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Resolution: Fixed
Fix Version/s: (was: 1.3.1)
(was: 1.4.0)
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Xiangrui Meng resolved SPARK-4588.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 4925
[https://githu
Xiangrui Meng created SPARK-6308:
Summary: VectorUDT is displayed as `vecto` in dtypes
Key: SPARK-6308
URL: https://issues.apache.org/jira/browse/SPARK-6308
Project: Spark
Issue Type: Bug
Xiangrui Meng created SPARK-6309:
Summary: Add MatrixUDT to support dense/sparse matrices in
DataFrames
Key: SPARK-6309
URL: https://issues.apache.org/jira/browse/SPARK-6309
Project: Spark
I
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Xiangrui Meng reassigned SPARK-3735:
Assignee: Xiangrui Meng
> Sending the factor directly or AtA based on the cost in ALS
> ---
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Xiangrui Meng commented on SPARK-6323:
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[~debasish83] Please help me understand some
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Xiangrui Meng edited comment on SPARK-6323 at 3/13/15 5:13 PM:
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Xiangrui Meng updated SPARK-6278:
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Fix Version/s: 1.4.0
> Mention the change of step size in the migration guide
> --
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Xiangrui Meng resolved SPARK-6278.
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Resolution: Fixed
Fix Version/s: 1.3.1
Issue resolved by pull request 4978
[https://githu
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Xiangrui Meng resolved SPARK-6252.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 4969
[https://githu
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Xiangrui Meng updated SPARK-6288:
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Attachment: Screen Shot 2015-03-13 at 10.45.35 AM.png
Attached a screenshot of YourKit profiling r
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Xiangrui Meng commented on SPARK-6288:
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[~joshrosen] The memoLookup cost is actually
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Xiangrui Meng commented on SPARK-6288:
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Yes, `memo` is a private variable. I sent a p
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Xiangrui Meng commented on SPARK-6288:
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Test the following code:
{code}
from pyspark
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Xiangrui Meng updated SPARK-6345:
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Target Version/s: 1.1.2, 1.2.2, 1.4.0, 1.3.1 (was: 1.3.1)
> Model update propagation during predi
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Xiangrui Meng updated SPARK-6345:
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Assignee: Jeremy Freeman
> Model update propagation during prediction in Streaming Regression
> --
Xiangrui Meng created SPARK-6361:
Summary: Support adding a column with metadata in DataFrames
Key: SPARK-6361
URL: https://issues.apache.org/jira/browse/SPARK-6361
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-6334?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14363629#comment-14363629
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Xiangrui Meng commented on SPARK-6334:
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https://issues.apache.org/jira/browse/SPARK-5
Xiangrui Meng created SPARK-6364:
Summary: hashCode and equals for Matrices
Key: SPARK-6364
URL: https://issues.apache.org/jira/browse/SPARK-6364
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-6336?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-6336:
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Fix Version/s: (was: 1.3.0)
1.3.1
1.4.0
> LBFGS should d
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Xiangrui Meng resolved SPARK-6336.
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Resolution: Fixed
Fix Version/s: 1.3.0
Issue resolved by pull request 5033
[https://githu
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Xiangrui Meng updated SPARK-6336:
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Assignee: Kai Sasaki
> LBFGS should document what convergenceTol means
> -
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Xiangrui Meng updated SPARK-6336:
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Target Version/s: 1.4.0, 1.3.1 (was: 1.4.0)
> LBFGS should document what convergenceTol means
> -
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https://issues.apache.org/jira/browse/SPARK-6226?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-6226.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 5049
[https://githu
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Xiangrui Meng updated SPARK-6390:
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Component/s: PySpark
> Add MatrixUDT in PySpark
>
>
> Key
Xiangrui Meng created SPARK-6390:
Summary: Add MatrixUDT in PySpark
Key: SPARK-6390
URL: https://issues.apache.org/jira/browse/SPARK-6390
Project: Spark
Issue Type: New Feature
Comp
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Xiangrui Meng commented on SPARK-6192:
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[~MechCoder] Please be a little (but not too)
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Xiangrui Meng commented on SPARK-6334:
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Couple suggestions before SPARK-5955 is imple
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Xiangrui Meng reassigned SPARK-5955:
Assignee: Xiangrui Meng
> Add checkpointInterval to ALS
> -
>
>
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Xiangrui Meng commented on SPARK-6096:
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Done.
> Support model save/load in Python's
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Xiangrui Meng updated SPARK-6096:
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Assignee: Xusen Yin
> Support model save/load in Python's naive Bayes
> --
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https://issues.apache.org/jira/browse/SPARK-5874?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14367309#comment-14367309
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Xiangrui Meng commented on SPARK-5874:
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[~Elie A.] Thanks for your feedback! This JIR
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Xiangrui Meng resolved SPARK-6374.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 5058
[https://githu
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Xiangrui Meng updated SPARK-6374:
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Assignee: yuhao yang
> Add getter for GeneralizedLinearAlgorithm
> ---
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Xiangrui Meng updated SPARK-6308:
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Assignee: (was: Xiangrui Meng)
> VectorUDT is displayed as `vecto` in dtypes
> ---
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Xiangrui Meng resolved SPARK-6095.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 5016
[https://githu
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Xiangrui Meng resolved SPARK-5954.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 5075
[https://githu
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Xiangrui Meng resolved SPARK-6096.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 5090
[https://githu
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Xiangrui Meng resolved SPARK-5955.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 5076
[https://githu
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Xiangrui Meng resolved SPARK-6309.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 5048
[https://githu
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Xiangrui Meng updated SPARK-6390:
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Assignee: Manoj Kumar
> Add MatrixUDT in PySpark
>
>
> Ke
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Xiangrui Meng updated SPARK-6309:
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Assignee: Manoj Kumar
> Add MatrixUDT to support dense/sparse matrices in DataFrames
> ---
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https://issues.apache.org/jira/browse/SPARK-6421?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-6421:
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Assignee: Kai Sasaki
> _regression_train_wrapper does not test initialWeights correctly
>
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Xiangrui Meng resolved SPARK-6421.
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Resolution: Fixed
Fix Version/s: 1.3.1
Issue resolved by pull request 5101
[https://githu
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Xiangrui Meng updated SPARK-6421:
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Fix Version/s: 1.4.0
> _regression_train_wrapper does not test initialWeights correctly
>
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https://issues.apache.org/jira/browse/SPARK-6441?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-6441:
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Issue Type: Improvement (was: Bug)
> [MLLIB] Add Deflation/Schur Complement to Power Iteration Cl
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Xiangrui Meng updated SPARK-6441:
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Summary: Add Deflation/Schur Complement to Power Iteration Clustering for
improved resilience to i
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Xiangrui Meng commented on SPARK-6441:
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Let's test subtracting mean first before mult
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Xiangrui Meng updated SPARK-6441:
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Assignee: Stephen Boesch
> Add Deflation/Schur Complement to Power Iteration Clustering for improv
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Xiangrui Meng updated SPARK-6308:
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Assignee: Manoj Kumar
> VectorUDT is displayed as `vecto` in dtypes
>
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Xiangrui Meng commented on SPARK-5954:
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Note: We added topByKey in mllib.rdd.MLPairRD
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Xiangrui Meng resolved SPARK-6308.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 5118
[https://githu
Xiangrui Meng created SPARK-6475:
Summary: DataFrame should support array types when creating DFs
from JavaBeans.
Key: SPARK-6475
URL: https://issues.apache.org/jira/browse/SPARK-6475
Project: Spark
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Xiangrui Meng reassigned SPARK-6475:
Assignee: Xiangrui Meng
> DataFrame should support array types when creating DFs from JavaB
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https://issues.apache.org/jira/browse/SPARK-1006?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14377152#comment-14377152
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Xiangrui Meng commented on SPARK-1006:
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This is fixed as part of SPARK-5955, where we
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https://issues.apache.org/jira/browse/SPARK-6192?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14377197#comment-14377197
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Xiangrui Meng commented on SPARK-6192:
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Thanks for the update! The current version lo
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https://issues.apache.org/jira/browse/SPARK-3735?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14377200#comment-14377200
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Xiangrui Meng commented on SPARK-3735:
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The proposal is actually something different.
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https://issues.apache.org/jira/browse/SPARK-6334?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-6334.
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Resolution: Duplicate
SPARK-5955 was merged. So if you can use the latest master, you can set
c
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https://issues.apache.org/jira/browse/SPARK-3278?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14377205#comment-14377205
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Xiangrui Meng commented on SPARK-3278:
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Did you try truncating the digits of x to red
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https://issues.apache.org/jira/browse/SPARK-6100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14377208#comment-14377208
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Xiangrui Meng commented on SPARK-6100:
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We don't have APIs for distributed matrices i
Xiangrui Meng created SPARK-6485:
Summary: Add CoordinateMatrix/RowMatrix/IndexedRowMatrix in PySpark
Key: SPARK-6485
URL: https://issues.apache.org/jira/browse/SPARK-6485
Project: Spark
Issu
Xiangrui Meng created SPARK-6486:
Summary: Add BlockMatrix in PySpark
Key: SPARK-6486
URL: https://issues.apache.org/jira/browse/SPARK-6486
Project: Spark
Issue Type: Sub-task
Compo
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https://issues.apache.org/jira/browse/SPARK-6486?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-6486:
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Description: We should add BlockMatrix to PySpark. Internally, we can use
DataFrames and MatrixUDT
Xiangrui Meng created SPARK-6488:
Summary: Support addition/multiplication in PySpark's BlockMatrix
Key: SPARK-6488
URL: https://issues.apache.org/jira/browse/SPARK-6488
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-4036?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14377223#comment-14377223
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Xiangrui Meng commented on SPARK-4036:
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You don't have to use or change the Optimizer
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https://issues.apache.org/jira/browse/SPARK-6487?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14377234#comment-14377234
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Xiangrui Meng commented on SPARK-6487:
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[~Zhang JiaJin] I'm not very familiar with pa
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https://issues.apache.org/jira/browse/SPARK-5692?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-5692:
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Assignee: Manoj Kumar (was: ANUPAM MEDIRATTA)
> Model import/export for Word2Vec
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https://issues.apache.org/jira/browse/SPARK-5692?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14377266#comment-14377266
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Xiangrui Meng commented on SPARK-5692:
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[~anupamme] You should get familiar with Scal
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https://issues.apache.org/jira/browse/SPARK-6475?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-6475.
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Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 5146
[https://githu
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https://issues.apache.org/jira/browse/SPARK-5955?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-5955:
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Target Version/s: 1.3.1, 1.4.0 (was: 1.4.0)
Affects Version/s: 1.3.0
Fix Version/s: 1
Xiangrui Meng created SPARK-6512:
Summary: Add contains to OpenHashMap
Key: SPARK-6512
URL: https://issues.apache.org/jira/browse/SPARK-6512
Project: Spark
Issue Type: Improvement
C
Xiangrui Meng created SPARK-6515:
Summary: OpenHashSet returns invalid position when the data size
is 1
Key: SPARK-6515
URL: https://issues.apache.org/jira/browse/SPARK-6515
Project: Spark
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