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Weichen Xu updated SPARK-21088:
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Summary: CrossValidator, TrainValidationSplit should collect all models
when fitting: Python API
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Weichen Xu updated SPARK-21088:
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Description:
In pyspark:
We add a parameter whether to collect the full model list when
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Weichen Xu updated SPARK-21087:
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Summary: CrossValidator, TrainValidationSplit should collect all models
when fitting: Scala API
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Weichen Xu updated SPARK-21087:
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Summary: CrossValidator, TrainValidationSplit should preserve all models
after fitting: Scala API
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Weichen Xu updated SPARK-21087:
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Description:
We add a parameter whether to collect the full model list when
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Weichen Xu commented on SPARK-22004:
I will create PR once SPARK-21086 merged.
> CrossValidator,
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Weichen Xu updated SPARK-22004:
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Description:
We add a parameter indicating whether to persist models to disk during training
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Weichen Xu updated SPARK-22004:
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Issue Type: Sub-task (was: New Feature)
Parent: SPARK-21086
> CrossValidator,
Weichen Xu created SPARK-22004:
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Summary: CrossValidator, TrainValidationSplit dump sub models to
disk when fitting: Scala API
Key: SPARK-22004
URL: https://issues.apache.org/jira/browse/SPARK-22004
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Weichen Xu closed SPARK-21802.
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Resolution: Not A Problem
> Make sparkR MLP summary() expose probability column
>
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Weichen Xu updated SPARK-21911:
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Summary: Parallel Model Evaluation for ML Tuning: PySpark (was: Parallel
Model Evaluation for ML
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Weichen Xu updated SPARK-19357:
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Summary: Parallel Model Evaluation for ML Tuning: Scala (was: Parallel
Model Evaluation for ML
Weichen Xu created SPARK-21911:
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Summary: Parallel Model Evaluation for ML Tuning: Python
Key: SPARK-21911
URL: https://issues.apache.org/jira/browse/SPARK-21911
Project: Spark
Issue Type: New
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Weichen Xu updated SPARK-21898:
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Issue Type: Sub-task (was: Bug)
Parent: SPARK-4591
> Feature parity for
Weichen Xu created SPARK-21898:
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Summary: Feature parity for KolmogorovSmirnovTest in MLlib
Key: SPARK-21898
URL: https://issues.apache.org/jira/browse/SPARK-21898
Project: Spark
Issue Type:
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Weichen Xu edited comment on SPARK-21802 at 8/31/17 1:48 PM:
-
cc
Weichen Xu created SPARK-21862:
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Summary: Add overflow check in PCA
Key: SPARK-21862
URL: https://issues.apache.org/jira/browse/SPARK-21862
Project: Spark
Issue Type: Improvement
Weichen Xu created SPARK-21856:
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Summary: Update Python API for MultilayerPerceptronClassifierModel
Key: SPARK-21856
URL: https://issues.apache.org/jira/browse/SPARK-21856
Project: Spark
Issue
Weichen Xu created SPARK-21854:
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Summary: Python interface for MLOR summary
Key: SPARK-21854
URL: https://issues.apache.org/jira/browse/SPARK-21854
Project: Spark
Issue Type: New Feature
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Weichen Xu commented on SPARK-21799:
[~zahili] hmm..You're right. We are hard to get the precise
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Weichen Xu updated SPARK-21799:
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Comment: was deleted
(was: I suggest check both `df.storageLevel` and `df.rdd.getStorageLevel` for
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Weichen Xu commented on SPARK-21799:
I suggest check both `df.storageLevel` and
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Weichen Xu commented on SPARK-21799:
[~Siddharth Murching]
Already have another jira & PR, take a
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Weichen Xu commented on SPARK-21799:
[~Siddharth Murching]
+1 This will cause double cache.
> KMeans
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Weichen Xu commented on SPARK-21770:
Hmm... `normalizeToProbabilitiesInPlace` is only effective in
Weichen Xu created SPARK-21818:
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Summary: MultivariateOnlineSummarizer.variance generate negative
result
Key: SPARK-21818
URL: https://issues.apache.org/jira/browse/SPARK-21818
Project: Spark
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Weichen Xu commented on SPARK-21729:
I will work on this, thanks!
> Generic test for
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Weichen Xu edited comment on SPARK-21802 at 8/22/17 4:25 AM:
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cc
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Weichen Xu commented on SPARK-21802:
cc [~felixcheung]
> Make sparkR MLP summary() expose
Weichen Xu created SPARK-21802:
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Summary: Make sparkR MLP summary() expose probability column
Key: SPARK-21802
URL: https://issues.apache.org/jira/browse/SPARK-21802
Project: Spark
Issue Type:
Weichen Xu created SPARK-21801:
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Summary: SparkR unit test randomly fail on trees
Key: SPARK-21801
URL: https://issues.apache.org/jira/browse/SPARK-21801
Project: Spark
Issue Type: Bug
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Weichen Xu commented on SPARK-21801:
cc [~felixcheung] Can you help fix this ?
> SparkR unit test
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Weichen Xu commented on SPARK-21741:
OK I will work on this.
I will post a design doc first.
>
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Weichen Xu updated SPARK-21681:
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Description:
MLOR do not work correctly when featureStd contains zero.
We can reproduce the bug
Weichen Xu created SPARK-21681:
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Summary: MLOR do not work correctly when featureStd contains zero
Key: SPARK-21681
URL: https://issues.apache.org/jira/browse/SPARK-21681
Project: Spark
Issue
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Weichen Xu commented on SPARK-20418:
I will work on this.
> multi-label classification support
>
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Weichen Xu commented on SPARK-11215:
I will take over this feature and create a PR soon.
> Add
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Weichen Xu commented on SPARK-21087:
I will work on it.
> CrossValidator, TrainValidationSplit
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Weichen Xu commented on SPARK-17025:
Because currently, scala calling python will be difficult and
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Weichen Xu commented on SPARK-21523:
I will work on this once the breeze cut a new version for this
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Weichen Xu updated SPARK-21523:
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Priority: Minor (was: Major)
> Fix bug of strong wolfe linesearch `init` parameter lose
Weichen Xu created SPARK-21523:
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Summary: Fix bug of strong wolfe linesearch `init` parameter lose
effectiveness
Key: SPARK-21523
URL: https://issues.apache.org/jira/browse/SPARK-21523
Project: Spark
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Weichen Xu updated SPARK-20504:
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Attachment: (updated)signature.diff
(updated)process_script2.sh
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Weichen Xu updated SPARK-20504:
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Comment: was deleted
(was: You’re right this is really a headache. Java tools cannot extract several
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Weichen Xu updated SPARK-20504:
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You’re right this is really a headache. Java tools cannot extract several
information `scalac`
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Weichen Xu edited comment on SPARK-20504 at 5/12/17 11:30 PM:
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I have
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Weichen Xu updated SPARK-20504:
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Attachment: 5_added_ml_class
4_common_ml_class
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Weichen Xu commented on SPARK-20504:
I have already taken the following steps to check this QA issue,
Weichen Xu created SPARK-20423:
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Summary: fix MLOR coeffs centering when reg == 0
Key: SPARK-20423
URL: https://issues.apache.org/jira/browse/SPARK-20423
Project: Spark
Issue Type: Improvement
Weichen Xu created SPARK-19215:
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Summary: Add necessary check for `RDD.checkpoint` to avoid
potential mistakes
Key: SPARK-19215
URL: https://issues.apache.org/jira/browse/SPARK-19215
Project: Spark
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Weichen Xu updated SPARK-19189:
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Summary: Optimize CartesianRDD to avoid parent RDD partition re-computation
and re-serialization
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Weichen Xu updated SPARK-19189:
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Priority: Minor (was: Major)
> Optimize CartesianRDD to avoid partition re-computation and
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Weichen Xu updated SPARK-19190:
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Issue Type: Improvement (was: Bug)
> Optimize CartesianRDD to avoid partition re-computation and
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Weichen Xu updated SPARK-19190:
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Priority: Minor (was: Major)
> Optimize CartesianRDD to avoid partition re-computation and
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https://issues.apache.org/jira/browse/SPARK-19203?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Weichen Xu updated SPARK-19203:
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Priority: Minor (was: Major)
> Optimize CartesianRDD to avoid partition re-computation and
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Weichen Xu updated SPARK-19189:
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Issue Type: Improvement (was: Bug)
> Optimize CartesianRDD to avoid partition re-computation and
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https://issues.apache.org/jira/browse/SPARK-10078?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15819964#comment-15819964
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Weichen Xu edited comment on SPARK-10078 at 1/12/17 4:59 AM:
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[~debasish83]
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Weichen Xu edited comment on SPARK-10078 at 1/12/17 4:58 AM:
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[~debasish83]
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Weichen Xu edited comment on SPARK-10078 at 1/12/17 4:54 AM:
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As the detail
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Weichen Xu edited comment on SPARK-10078 at 1/12/17 4:54 AM:
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As the detail
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Weichen Xu commented on SPARK-10078:
As the detail problems I list above(I only list a small part
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Weichen Xu edited comment on SPARK-10078 at 1/12/17 4:43 AM:
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[~debasish83]
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Weichen Xu edited comment on SPARK-10078 at 1/12/17 3:02 AM:
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[~debasish83]
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Weichen Xu edited comment on SPARK-10078 at 1/12/17 2:55 AM:
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[~debasish83]
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Weichen Xu edited comment on SPARK-10078 at 1/12/17 2:48 AM:
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[~debasish83]
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Weichen Xu edited comment on SPARK-10078 at 1/12/17 2:45 AM:
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[~debasish83]
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Weichen Xu commented on SPARK-10078:
[~debasish83] But when we implement VF-LBFGS/VF-OWLQN base on
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Weichen Xu commented on SPARK-10078:
[~debasish83] Can L-BFGS-B be distributed computed when scaled
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Weichen Xu commented on SPARK-18036:
Oh, I'm too busy recently to work on it, it would be great if
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Weichen Xu updated SPARK-18036:
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Comment: was deleted
(was: i am working on this... )
> Decision Trees do not handle edge cases
>
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Weichen Xu commented on SPARK-18286:
I will work on it, thanks~
> Add Scala/Java/Python examples for
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Weichen Xu updated SPARK-18218:
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Issue Type: Improvement (was: Bug)
> Optimize BlockMatrix multiplication, which may cause OOM and
Weichen Xu created SPARK-18218:
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Summary: Optimize BlockMatrix multiplication, which may cause OOM
and low parallelism usage problem in several cases
Key: SPARK-18218
URL:
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Weichen Xu closed SPARK-18201.
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Resolution: Duplicate
It will fix in this PR https://github.com/apache/spark/pull/15628
> add toDense
Weichen Xu created SPARK-18201:
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Summary: add toDense and toSparse into Matrix trait, like Vector
design
Key: SPARK-18201
URL: https://issues.apache.org/jira/browse/SPARK-18201
Project: Spark
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Weichen Xu commented on SPARK-18036:
i am working on this...
> Decision Trees do not handle edge
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Weichen Xu updated SPARK-18095:
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Comment: was deleted
(was: I am working on it...)
> There is a display problem in spark UI storage
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Weichen Xu commented on SPARK-18095:
I am working on it...
> There is a display problem in spark UI
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Weichen Xu updated SPARK-18095:
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Description:
There is a display problem in spark UI storage tab when rdd was persisted in
multiple
Weichen Xu created SPARK-18095:
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Summary: There is a display problem in spark UI storage tab when
rdd was persisted in multiple replicas
Key: SPARK-18095
URL: https://issues.apache.org/jira/browse/SPARK-18095
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Weichen Xu updated SPARK-18078:
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Priority: Minor (was: Major)
> Add option for customize zipPartition task preferred locations
>
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Weichen Xu updated SPARK-18078:
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Description:
`RDD.zipPartitions` task preferred locations strategy will use the intersection
of
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Weichen Xu updated SPARK-18078:
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Description:
`RDD.zipPartitions` task preferred locations strategy will use the intersection
of
Weichen Xu created SPARK-18078:
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Summary: Add option for customize zipPartition task preferred
locations
Key: SPARK-18078
URL: https://issues.apache.org/jira/browse/SPARK-18078
Project: Spark
Weichen Xu created SPARK-18051:
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Summary: Custom PartitionCoalescer cause serialization exception
Key: SPARK-18051
URL: https://issues.apache.org/jira/browse/SPARK-18051
Project: Spark
Issue
Weichen Xu created SPARK-18007:
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Summary: update SparkR MLP - add initalWeights parameter
Key: SPARK-18007
URL: https://issues.apache.org/jira/browse/SPARK-18007
Project: Spark
Issue Type:
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Weichen Xu updated SPARK-18003:
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Description:
RDD zipWithIndex generate wrong result when one partition contains more than
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Weichen Xu updated SPARK-18003:
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Component/s: Spark Core
> RDD zipWithIndex generate wrong result when one partition contains more
Weichen Xu created SPARK-18003:
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Summary: RDD zipWithIndex generate wrong result when one partition
contains more than 2147483647 records.
Key: SPARK-18003
URL: https://issues.apache.org/jira/browse/SPARK-18003
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Weichen Xu updated SPARK-17961:
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Component/s: SQL
SparkR
> Add storageLevel to Dataset for SparkR
>
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Weichen Xu updated SPARK-17961:
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Issue Type: Improvement (was: Bug)
> Add storageLevel to Dataset for SparkR
>
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https://issues.apache.org/jira/browse/SPARK-17961?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15580131#comment-15580131
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Weichen Xu commented on SPARK-17961:
I am working on it and will create PR soon.
> Add storageLevel
Weichen Xu created SPARK-17961:
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Summary: Add storageLevel to Dataset for SparkR
Key: SPARK-17961
URL: https://issues.apache.org/jira/browse/SPARK-17961
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-17139?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15564097#comment-15564097
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Weichen Xu edited comment on SPARK-17139 at 10/11/16 1:25 AM:
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I'm working
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https://issues.apache.org/jira/browse/SPARK-17139?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15564097#comment-15564097
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Weichen Xu commented on SPARK-17139:
I'm working on it hardly and will create PR this week, thanks!
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https://issues.apache.org/jira/browse/SPARK-17540?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Weichen Xu updated SPARK-17540:
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Description:
SparkR cannot handle array serde when array length == 0
when length = 0
R side set the
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https://issues.apache.org/jira/browse/SPARK-17540?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Weichen Xu updated SPARK-17540:
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Description:
SparkR cannot handle array serde when array length == 0
when length = 0
R side set the
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https://issues.apache.org/jira/browse/SPARK-17540?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Weichen Xu closed SPARK-17540.
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Resolution: Won't Fix
> SparkR array serde cannot work correctly when array length == 0
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https://issues.apache.org/jira/browse/SPARK-17745?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Weichen Xu updated SPARK-17745:
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Component/s: PySpark
> Update Python API for NB to support weighted instances
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https://issues.apache.org/jira/browse/SPARK-17745?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15535750#comment-15535750
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Weichen Xu commented on SPARK-17745:
I will work on it and create PR ASAP, thanks!
> Update Python
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