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Miao Wang commented on SPARK-15784:
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[~WeichenXu123] Thank you very much!
> Add Power Iteration
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Miao Wang commented on SPARK-15784:
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[~josephkb] Just saw your comments. Let me try fix it. I am on
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Miao Wang commented on SPARK-23996:
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Thanks for your reply! I am learning the core part of the
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Miao Wang edited comment on SPARK-23996 at 4/19/18 10:34 PM:
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[~timhunter]
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Miao Wang commented on SPARK-23996:
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[~timhunter] There is a Java implementation:
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Miao Wang commented on SPARK-19827:
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[~felixcheung] The scala code is just merged. I can work this now.
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Miao Wang commented on SPARK-15784:
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[~josephkb] You can start the new PR now. :)
> Add Power
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Miao Wang commented on SPARK-20307:
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[~felixcheung] I will do it during the Lunar New Year vacation. I
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Miao Wang commented on SPARK-18131:
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[~felixcheung] We got stuck at the data types definitions. There
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Miao Wang commented on SPARK-20307:
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[~yanboliang] Have you added the support on Python side? I think
Miao Wang created SPARK-21381:
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Summary: SparkR: pass on setHandleInvalid for classification
algorithms
Key: SPARK-21381
URL: https://issues.apache.org/jira/browse/SPARK-21381
Project: Spark
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Miao Wang commented on SPARK-20307:
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[~Monday0927!] "Have you also try to load the model trained in
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Miao Wang commented on SPARK-20307:
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Update: Manual test works. I will submit PR soon.
> SparkR: pass
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Miao Wang commented on SPARK-20307:
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[~Monday0927!] I am working on it now. Thanks! Miao cc
Miao Wang created SPARK-20906:
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Summary: Constrained Logistic Regression for SparkR
Key: SPARK-20906
URL: https://issues.apache.org/jira/browse/SPARK-20906
Project: Spark
Issue Type: Bug
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Miao Wang edited comment on SPARK-20307 at 5/23/17 11:16 PM:
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[~felixcheung]
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Miao Wang commented on SPARK-20307:
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[~felixcheung] I will wait for [~wayen.zh...@263.net] to reply
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Miao Wang commented on SPARK-20307:
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I think I get your point:
In scala code,
/** @group setParam */
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Miao Wang commented on SPARK-20307:
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Do you mean adding a new method `setHandleInvalid` in the backend
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Miao Wang commented on SPARK-20803:
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Can you put the data set `colVec`? So we can easily reproduce this
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Miao Wang updated SPARK-20533:
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Priority: Minor (was: Major)
> SparkR Wrappers Model should be private and value should be lazy
>
Miao Wang created SPARK-20533:
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Summary: SparkR Wrappers Model should be private and value should
be lazy
Key: SPARK-20533
URL: https://issues.apache.org/jira/browse/SPARK-20533
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-20478?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15987903#comment-15987903
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Miao Wang commented on SPARK-20478:
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OK. I will do it. Thanks for pointing me the place.
> Document
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Miao Wang commented on SPARK-20478:
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R programming guide and vignettes have linear svm document. What
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Miao Wang commented on SPARK-20477:
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OK. I will add it.
> Document R bisecting k-means in R
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Miao Wang commented on SPARK-20478:
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OK. I will add it.
> Document LinearSVC in R programming guide
>
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Miao Wang commented on SPARK-19634:
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Comments never come to email box. [~timhunter] I can continue with
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Miao Wang commented on SPARK-19288:
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I think it only happens at local build. I had another similar
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Miao Wang edited comment on SPARK-19827 at 3/17/17 5:15 AM:
Please hold on.
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Miao Wang commented on SPARK-19827:
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Please hold on. We need to add wrapper to ML instead of MLLIB. The
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Miao Wang commented on SPARK-19635:
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https://github.com/apache/spark/pull/13440
[~timhunter] This one
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Miao Wang commented on SPARK-19635:
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I think there is a related PR opened for quite a while. Let me
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Miao Wang commented on SPARK-19639:
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This JIRA should be closed as the PR is merged. Thanks! cc
Miao Wang created SPARK-19639:
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Summary: Add spark.svmLinear example and update vignettes
Key: SPARK-19639
URL: https://issues.apache.org/jira/browse/SPARK-19639
Project: Spark
Issue Type:
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Miao Wang commented on SPARK-19634:
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I can give a try. Thanks!
Miao
> Feature parity for descriptive
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Miao Wang commented on SPARK-19460:
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By the way, I remembered that you had discussion about fixing the
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Miao Wang commented on SPARK-19460:
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Seems a lots of work. :) I can give a try.
> Update dataset used
Miao Wang created SPARK-19616:
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Summary: weightCol and aggregationDepth should be improved for
some SparkR APIs
Key: SPARK-19616
URL: https://issues.apache.org/jira/browse/SPARK-19616
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-14894?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15866999#comment-15866999
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Miao Wang commented on SPARK-14894:
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This is a dup of JIRA-18282. Should be closed.
> Python
Miao Wang created SPARK-19456:
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Summary: Add LinearSVC R API
Key: SPARK-19456
URL: https://issues.apache.org/jira/browse/SPARK-19456
Project: Spark
Issue Type: New Feature
Components:
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Miao Wang commented on SPARK-19382:
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In addition,
def merge(other: MultivariateOnlineSummarizer):
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Miao Wang commented on SPARK-19382:
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[~josephkb] If I understand correctly, I think we have to create
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Miao Wang commented on SPARK-19382:
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I can try to submit a PR today or tomorrow. Thanks!
> Test sparse
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Miao Wang commented on SPARK-18131:
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[~felixcheung][~yanboliang][~shivaram] I am trying to add the
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Miao Wang commented on SPARK-19336:
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[~mlnick] Thanks!
> LinearSVC Python API
>
>
Miao Wang created SPARK-19319:
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Summary: SparkR Kmeans summary returns error when the cluster size
doesn't equal to k
Key: SPARK-19319
URL: https://issues.apache.org/jira/browse/SPARK-19319
Project:
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Miao Wang commented on SPARK-18011:
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OS and R information:
R version 3.3.0 (2016-05-03) -- "Supposedly
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Miao Wang edited comment on SPARK-18011 at 1/17/17 11:27 PM:
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[~felixcheung]
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Miao Wang commented on SPARK-18011:
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[~felixcheung] I did intensive debug in both R side and scala
Miao Wang created SPARK-19142:
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Summary: spark.kmeans should take seed, initSteps, and tol as
parameters
Key: SPARK-19142
URL: https://issues.apache.org/jira/browse/SPARK-19142
Project: Spark
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Miao Wang commented on SPARK-18011:
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The problem is for some R version (e.g., the version on my mac),
Miao Wang created SPARK-19110:
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Summary: DistributedLDAModel returns different logPrior for
original and loaded model
Key: SPARK-19110
URL: https://issues.apache.org/jira/browse/SPARK-19110
Project:
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https://issues.apache.org/jira/browse/SPARK-19066?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Miao Wang updated SPARK-19066:
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Description:
spark.lda pass the optimizer "em" or "online" to the backend. However,
LDAWrapper
Miao Wang created SPARK-19066:
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Summary: SparkR LDA doesn't set optimizer correctly
Key: SPARK-19066
URL: https://issues.apache.org/jira/browse/SPARK-19066
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-18821?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15794322#comment-15794322
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Miao Wang commented on SPARK-18821:
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Start it now. ETA within one week.
> Bisecting k-means wrapper in
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Miao Wang commented on SPARK-18821:
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I can work on this one, if it is not urgent. Thanks!
> Bisecting
Miao Wang created SPARK-18865:
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Summary: SparkR vignettes MLP and LDA updates
Key: SPARK-18865
URL: https://issues.apache.org/jira/browse/SPARK-18865
Project: Spark
Issue Type: Bug
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Miao Wang commented on SPARK-18795:
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[~josephkb]
Sorry for late response. I was in something in last
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Miao Wang updated SPARK-18332:
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Comment: was deleted
(was: Update spark.logit is part of the QA work.)
> SparkR 2.1 QA: Programming
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Miao Wang commented on SPARK-18332:
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[~josephkb]
https://github.com/apache/spark/pull/16222
This PR
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Miao Wang commented on SPARK-18795:
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I will work on this one too.
Thanks!
Miao
> SparkR vignette
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Miao Wang commented on SPARK-18792:
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I have submitted PR for JIRA-18797, which is the same as this one.
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Miao Wang commented on SPARK-18332:
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Update spark.logit is part of the QA work.
> SparkR 2.1 QA:
Miao Wang created SPARK-18797:
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Summary: Update spark.logit in sparkr-vignettes
Key: SPARK-18797
URL: https://issues.apache.org/jira/browse/SPARK-18797
Project: Spark
Issue Type: Improvement
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Miao Wang commented on SPARK-18332:
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[~felixcheung]Let me add the spark.logit by today. Then, we can
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Miao Wang commented on SPARK-18349:
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I go through the "summary" methods in mllib.R and have the
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Miao Wang commented on SPARK-18349:
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Will submit PR by tomorrow. Thanks!
> Update R API documentation
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Miao Wang commented on SPARK-18349:
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[~felixcheung]I can help on this task. I am helping Yanbo on
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Miao Wang commented on SPARK-18476:
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spark.logit predict should output original label instead of a
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Miao Wang commented on SPARK-18131:
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I can try to follow this discussion for an initial PR.
> Support
Miao Wang created SPARK-18633:
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Summary: Add multiclass logistic regression summary python example
and document
Key: SPARK-18633
URL: https://issues.apache.org/jira/browse/SPARK-18633
Project: Spark
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Miao Wang commented on SPARK-18332:
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For some reason, I didn't receive the `CC` notification for this
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Miao Wang commented on SPARK-18558:
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scala> val df = spark.read.option("header",
Miao Wang created SPARK-18476:
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Summary: SparkR Logistic Regression should should support output
original label.
Key: SPARK-18476
URL: https://issues.apache.org/jira/browse/SPARK-18476
Project: Spark
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Miao Wang commented on SPARK-18266:
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[~felixcheung] Is this an umbrella JIRA?
> Update R vignettes and
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Miao Wang commented on SPARK-15784:
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I created a new PR to implement PIC as a Transformer.
> Add Power
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Miao Wang edited comment on SPARK-15784 at 11/1/16 11:29 PM:
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[~josephkb] I
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Miao Wang commented on SPARK-15784:
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[~josephkb] I am good for the Transformer approach too. I will
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Miao Wang commented on SPARK-15784:
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Just closed the PR. Let us continue the design here and I will
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Miao Wang commented on SPARK-18133:
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Use Pyspark:
>>> training = spark.createDataFrame([
...
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Miao Wang commented on SPARK-18133:
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Python 2.7.11 |Anaconda 2.4.0 (x86_64)| (default, Dec 6 2015,
Miao Wang created SPARK-18131:
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Summary: Support returning Vector/Dense Vector from backend
Key: SPARK-18131
URL: https://issues.apache.org/jira/browse/SPARK-18131
Project: Spark
Issue Type: New
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Miao Wang updated SPARK-18126:
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Summary: getIteratorZipWithIndex accepts negative value as index. (was:
zipWithIndex accepts negative
Miao Wang created SPARK-18126:
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Summary: zipWithIndex accepts negative value as index.
Key: SPARK-18126
URL: https://issues.apache.org/jira/browse/SPARK-18126
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-18011?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15589331#comment-15589331
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Miao Wang commented on SPARK-18011:
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We have detailed discussions on PR
Miao Wang created SPARK-18011:
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Summary: SparkR serialize "NA" throws exception
Key: SPARK-18011
URL: https://issues.apache.org/jira/browse/SPARK-18011
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-17811?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15566163#comment-15566163
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Miao Wang commented on SPARK-17811:
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:) Just want to submit a PR and found that you have a fix. Good to
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Miao Wang edited comment on SPARK-17811 at 10/7/16 7:10 PM:
> df <-
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Miao Wang commented on SPARK-17811:
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> df <- data.frame(Date = as.POSIXlt(as.Date(c(rep("2016-01-10",
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Miao Wang commented on SPARK-17811:
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I am looking at this issue.
Thanks!
> SparkR cannot parallelize
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https://issues.apache.org/jira/browse/SPARK-17602?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15508065#comment-15508065
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Miao Wang commented on SPARK-17602:
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Does this change also benefit/impact Windows OS?
> PySpark -
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https://issues.apache.org/jira/browse/SPARK-17608?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15507257#comment-15507257
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Miao Wang commented on SPARK-17608:
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Miao Wang commented on SPARK-17608:
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Let me take a look. Thanks!
> Long type has incorrect
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https://issues.apache.org/jira/browse/SPARK-17498?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15483383#comment-15483383
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Miao Wang commented on SPARK-17498:
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Can you give a concrete example?
> StringIndexer.setHandleInvalid
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Miao Wang commented on SPARK-17469:
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Can you give command for reproduction?
> mapWithState causes
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Miao Wang commented on SPARK-17110:
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Can you post a sample configuration? It could be simpler to
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https://issues.apache.org/jira/browse/SPARK-17110?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15440786#comment-15440786
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Miao Wang commented on SPARK-17110:
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I set up a two-node cluster, one master, one worker, 48 cores. 1G
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https://issues.apache.org/jira/browse/SPARK-17156?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15436004#comment-15436004
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Miao Wang commented on SPARK-17156:
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Two quick comments:
1). Add some comments like in the
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Miao Wang commented on SPARK-17157:
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Start working on it now.
> Add multiclass logistic regression
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Miao Wang updated SPARK-17157:
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Component/s: SparkR
> Add multiclass logistic regression SparkR Wrapper
>
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