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Debasish Das commented on SPARK-24374:
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Hi [~mengxr] with barrier mode available is
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Debasish Das commented on SPARK-4823:
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We use it in multiple usecases internally but d
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Debasish Das commented on SPARK-5992:
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Did you compare with brute force knn ? Normally
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Debasish Das commented on SPARK-5992:
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Also do you have hash function for euclidean di
Debasish Das created SPARK-3987:
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Summary: NNLS generates incorrect result
Key: SPARK-3987
URL: https://issues.apache.org/jira/browse/SPARK-3987
Project: Spark
Issue Type: Bug
Compone
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Debasish Das commented on SPARK-2426:
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1. [~mengxr] Our legal was clear that Stanford
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Debasish Das commented on SPARK-2426:
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[~mengxr] I thought more on it and one of the r
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Debasish Das commented on SPARK-3987:
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I will test it but this is how I called NNLS...
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Debasish Das commented on SPARK-3987:
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[~coderxiang] changing to 1e-6 to 1e-7 fixes th
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Debasish Das reopened SPARK-3987:
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I can send you a further list of failures...this is one more example...I
strongly suggest moving to a
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Debasish Das commented on SPARK-3987:
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NNLS iters 36 result
0.13010360222362655,0.126
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Debasish Das edited comment on SPARK-3987 at 10/31/14 3:10 AM:
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Debasish Das commented on SPARK-3987:
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Was there more changes that step size in your c
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Debasish Das commented on SPARK-3987:
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[~mengxr] this came out of an internal dataset
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Debasish Das commented on SPARK-3987:
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Nope...standard ALS...same as netflix params...
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Debasish Das commented on SPARK-2426:
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[~mengxr] The matlab comparison scripts are ope
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Debasish Das edited comment on SPARK-2426 at 10/31/14 8:04 AM:
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Debasish Das edited comment on SPARK-2426 at 10/31/14 4:20 PM:
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Debasish Das commented on SPARK-2426:
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Matlab comparisons of MOSEK, ECOS, PDCO and ADM
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Debasish Das commented on SPARK-2426:
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Refactored QuadraticMinimizer and NNLS from mll
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Debasish Das updated SPARK-2426:
Affects Version/s: (was: 1.0.0)
1.2.0
> Quadratic Minimization for MLlib
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Debasish Das updated SPARK-2426:
Affects Version/s: (was: 1.2.0)
1.3.0
> Quadratic Minimization for MLlib
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Debasish Das commented on SPARK-2336:
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Very cool idea Sen. Did you also look into FLAN
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Debasish Das edited comment on SPARK-2336 at 6/12/15 6:51 PM:
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Debasish Das created SPARK-2426:
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Summary: Quadratic Minimization for MLlib ALS
Key: SPARK-2426
URL: https://issues.apache.org/jira/browse/SPARK-2426
Project: Spark
Issue Type: New Feature
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Debasish Das commented on SPARK-2602:
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CDH5 does not even support java6 anymore !
> s
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Debasish Das commented on SPARK-2426:
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Hi Xiangrui,
The branch is ready for an initia
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Debasish Das updated SPARK-2426:
Description:
Current ALS supports least squares and nonnegative least squares.
I presented ADMM an
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Debasish Das edited comment on SPARK-2426 at 8/13/14 3:31 PM:
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Debasish Das commented on SPARK-10078:
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[~mengxr] will it be Breeze LBFGS modificati
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Debasish Das commented on SPARK-9834:
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If you are open to use breeze.proximal.Quadrati
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Debasish Das edited comment on SPARK-9834 at 9/8/15 3:18 PM:
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Debasish Das commented on SPARK-10408:
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[~avulanov] In MLP can we change BFGS to OWL
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Debasish Das commented on SPARK-6932:
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[~rxin] [~sowen] Do we have any other active pa
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Debasish Das commented on SPARK-2426:
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[~mengxr] [~coderxiang] David is out in Feb and
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Debasish Das commented on SPARK-3987:
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@mengxr for this testcase it was fixed but I re
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Debasish Das edited comment on SPARK-3987 at 4/8/15 3:31 AM:
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Debasish Das commented on SPARK-5992:
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Did someone compared algebird LSH with spark mi
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Debasish Das reopened SPARK-4231:
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The code was not part of SPARK-3066 and so reopening...
> Add RankingMetrics to examples.MovieLensALS
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Debasish Das updated SPARK-4231:
Affects Version/s: (was: 1.2.0)
1.4.0
> Add RankingMetrics to examples.Mo
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Debasish Das commented on SPARK-4823:
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I opened up a PR that worked well for our datas
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Debasish Das commented on SPARK-6323:
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Petuum paper that got released today mentioned
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Debasish Das commented on SPARK-2426:
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[~mengxr] Should I add the PR to spark packages
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Debasish Das updated SPARK-4823:
Attachment: MovieLensSimilarity Comparisons.pdf
The attached file shows the runtime comparison of ro
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Debasish Das updated SPARK-6323:
Affects Version/s: (was: 1.4.0)
> Large rank matrix factorization with Nonlinear loss and constr
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Debasish Das commented on SPARK-5992:
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Lsh is anyway optimized for cosine...I think we
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Debasish Das commented on SPARK-4823:
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We did more detailed experiment for July 2015 S
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Debasish Das updated SPARK-4823:
Attachment: SparkMeetup2015-Experiments2.pdf
SparkMeetup2015-Experiments1.pdf
> rowS
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Debasish Das commented on SPARK-13857:
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item->item and user->user was done in an old
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Debasish Das edited comment on SPARK-13857 at 12/26/16 5:57 AM:
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Debasish Das commented on SPARK-10078:
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Ideally feature partitioning should be autom
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Debasish Das edited comment on SPARK-10078 at 1/3/17 12:26 AM:
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Debasish Das commented on SPARK-10078:
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[~mengxr] [~dlwh] is it possible to implemen
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Debasish Das commented on SPARK-10078:
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I looked into the code and I see we are repl
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Debasish Das commented on SPARK-9834:
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Do you have runtime comparisons that when featu
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Debasish Das edited comment on SPARK-9834 at 6/5/16 4:49 PM:
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Debasish Das created SPARK-4231:
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Summary: Add RankingMetrics to examples.MovieLensALS
Key: SPARK-4231
URL: https://issues.apache.org/jira/browse/SPARK-4231
Project: Spark
Issue Type: Improveme
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Debasish Das commented on SPARK-4231:
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[~coderxiang] [~mengxr] [~srowen]
I looked at
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Debasish Das commented on SPARK-4231:
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[~srowen] I need a standard metric to report th
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Debasish Das commented on SPARK-3066:
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[~mengxr] I am testing recommendAllUsers and re
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Debasish Das commented on SPARK-3066:
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On our internal datasets, flatMap is slow...I a
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Debasish Das edited comment on SPARK-3066 at 11/19/14 10:59 PM:
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Debasish Das commented on SPARK-3066:
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@mengxr as per our discussions, I added APIs fo
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Debasish Das commented on SPARK-1405:
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I would like to compare the LSA formulations (s
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Debasish Das commented on SPARK-2426:
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With the MAP measures being added to examples.M
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Debasish Das edited comment on SPARK-2426 at 11/20/14 2:13 AM:
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Debasish Das commented on SPARK-1405:
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For LSA you can find references on the PR. Micr
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Debasish Das commented on SPARK-4231:
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[~srowen] I added batch predict APIs for user a
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Debasish Das commented on SPARK-3066:
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I did experiments on MovieLens dataset with var
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Debasish Das commented on SPARK-1405:
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[~witgo] where can I access your dataset ? I go
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Debasish Das edited comment on SPARK-1405 at 11/21/14 10:28 PM:
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Debasish Das commented on SPARK-1405:
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We need a larger dataset as well where topics g
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Debasish Das edited comment on SPARK-1405 at 11/22/14 4:22 PM:
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Debasish Das commented on SPARK-1405:
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[~pedrorodriguez] did you write the metric in y
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Debasish Das commented on SPARK-1405:
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NIPS dataset is common for PLSA and additive re
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Debasish Das commented on SPARK-1405:
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@sparks that will be awesome...I should be fine
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Debasish Das edited comment on SPARK-1405 at 11/22/14 6:40 PM:
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Debasish Das commented on SPARK-2426:
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Actually on MovieLens dataset, I am getting goo
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Debasish Das commented on SPARK-4675:
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There are few issues:
1. Batch API for topK si
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Debasish Das commented on SPARK-4823:
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I am considering coming up with a baseline vers
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Debasish Das commented on SPARK-4675:
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[~josephkb] how do we validate that low dimensi
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Debasish Das commented on SPARK-4675:
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Is there a metric like MAP / AUC kind of measur
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Debasish Das commented on SPARK-4823:
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[~srowen] did you implement map-reduce row simi
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Debasish Das commented on SPARK-2426:
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I meant \sum_j ( r_ij - w_i*h_j)^2...what's the
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Debasish Das commented on SPARK-2426:
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[~mengxr] as per our discussion, QuadraticMinim
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https://issues.apache.org/jira/browse/SPARK-4823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14243207#comment-14243207
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Debasish Das commented on SPARK-4823:
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Even for matrix factorization userFactors are u
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Debasish Das commented on SPARK-2426:
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[~akopich] I got good MAP results on recommenda
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https://issues.apache.org/jira/browse/SPARK-5564?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14342311#comment-14342311
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Debasish Das edited comment on SPARK-5564 at 3/1/15 4:19 PM:
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Debasish Das commented on SPARK-5564:
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I am right now using the following PR to do lar
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Debasish Das edited comment on SPARK-5564 at 3/1/15 4:20 PM:
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Debasish Das commented on SPARK-5564:
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By the way the following step is an approximati
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Debasish Das edited comment on SPARK-5564 at 3/1/15 4:41 PM:
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Debasish Das edited comment on SPARK-5564 at 3/1/15 4:51 PM:
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Debasish Das commented on SPARK-2426:
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[~mengxr] NNLS and QuadraticMinimizer are both
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https://issues.apache.org/jira/browse/SPARK-3066?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14351945#comment-14351945
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Debasish Das commented on SPARK-3066:
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[~josephkb] do you mean knn ? For recommendatio
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Debasish Das commented on SPARK-4823:
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[~mengxr] I need level 3 BLAS for this JIRA as
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Debasish Das edited comment on SPARK-4823 at 3/8/15 6:42 AM:
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Debasish Das commented on SPARK-3066:
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We use the non-level 3 BLAS code in our interna
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https://issues.apache.org/jira/browse/SPARK-6323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Debasish Das updated SPARK-6323:
Description:
Currently ml.recommendation.ALS is optimized for gram matrix generation which
only sca
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https://issues.apache.org/jira/browse/SPARK-6323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Debasish Das updated SPARK-6323:
Description:
Currently ml.recommendation.ALS is optimized for gram matrix generation which
only sca
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