[jira] [Commented] (SPARK-5436) Validate GradientBoostedTrees during training

[ https://issues.apache.org/jira/browse/SPARK-5436?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14325829#comment-14325829 ] Manoj Kumar commented on SPARK-5436: The idea sounds great. I shall come up with a

[jira] [Commented] (SPARK-5016) GaussianMixtureEM should distribute matrix inverse for large numFeatures, k

[ https://issues.apache.org/jira/browse/SPARK-5016?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14322332#comment-14322332 ] Manoj Kumar commented on SPARK-5016: [~mengxr] Can you please clarify a few things.

[jira] [Commented] (SPARK-5016) GaussianMixtureEM should distribute matrix inverse for large numFeatures, k

[ https://issues.apache.org/jira/browse/SPARK-5016?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14321466#comment-14321466 ] Manoj Kumar commented on SPARK-5016: [~tgaloppo] If I understand, [~mengxr] 's

[jira] [Commented] (SPARK-5016) GaussianMixtureEM should distribute matrix inverse for large numFeatures, k

[ https://issues.apache.org/jira/browse/SPARK-5016?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14321611#comment-14321611 ] Manoj Kumar commented on SPARK-5016: Is there a possibility that memory is shared

[jira] [Issue Comment Deleted] (SPARK-5016) GaussianMixtureEM should distribute matrix inverse for large numFeatures, k

[ https://issues.apache.org/jira/browse/SPARK-5016?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Manoj Kumar updated SPARK-5016: --- Comment: was deleted (was: Is there a possibility that memory is shared between all k reducers (I

[jira] [Commented] (SPARK-5436) Validate GradientBoostedTrees during training

[ https://issues.apache.org/jira/browse/SPARK-5436?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14318021#comment-14318021 ] Manoj Kumar commented on SPARK-5436: Hi, I would like to give this a go. [~ChrisT] are

[jira] [Commented] (SPARK-5016) GaussianMixtureEM should distribute matrix inverse for large numFeatures, k

[ https://issues.apache.org/jira/browse/SPARK-5016?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14315695#comment-14315695 ] Manoj Kumar commented on SPARK-5016: [~tgaloppo] How about a method

[jira] [Commented] (SPARK-5016) GaussianMixtureEM should distribute matrix inverse for large numFeatures, k

[ https://issues.apache.org/jira/browse/SPARK-5016?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14311956#comment-14311956 ] Manoj Kumar commented on SPARK-5016: [~tgaloppo] I would like your inputs on this as

[jira] [Commented] (SPARK-5016) GaussianMixtureEM should distribute matrix inverse for large numFeatures, k

[ https://issues.apache.org/jira/browse/SPARK-5016?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14312284#comment-14312284 ] Manoj Kumar commented on SPARK-5016: Well, I got mislead by the Jira description which

[jira] [Commented] (SPARK-5021) GaussianMixtureEM should be faster for SparseVector input

[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14311532#comment-14311532 ] Manoj Kumar commented on SPARK-5021: I have created a working pull request. Let us

[jira] [Comment Edited] (SPARK-5016) GaussianMixtureEM should distribute matrix inverse for large numFeatures, k

[ https://issues.apache.org/jira/browse/SPARK-5016?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14306688#comment-14306688 ] Manoj Kumar edited comment on SPARK-5016 at 2/5/15 8:09 AM:

[jira] [Commented] (SPARK-5021) GaussianMixtureEM should be faster for SparseVector input

[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14305605#comment-14305605 ] Manoj Kumar commented on SPARK-5021: Thanks for the comment. That also seems to fail,

[jira] [Commented] (SPARK-5021) GaussianMixtureEM should be faster for SparseVector input

[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14305703#comment-14305703 ] Manoj Kumar commented on SPARK-5021: Oops, I was thinking along the completely wrong

[jira] [Commented] (SPARK-5021) GaussianMixtureEM should be faster for SparseVector input

[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14306538#comment-14306538 ] Manoj Kumar commented on SPARK-5021: Can you please explain, what do you mean by soft

[jira] [Commented] (SPARK-5021) GaussianMixtureEM should be faster for SparseVector input

[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14306549#comment-14306549 ] Manoj Kumar commented on SPARK-5021: Ah, I see what you mean (Google helped me), I

[jira] [Commented] (SPARK-5021) GaussianMixtureEM should be faster for SparseVector input

[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14305032#comment-14305032 ] Manoj Kumar commented on SPARK-5021: I fixed it up, and it works for sparse input.

[jira] [Comment Edited] (SPARK-5021) GaussianMixtureEM should be faster for SparseVector input

[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14305058#comment-14305058 ] Manoj Kumar edited comment on SPARK-5021 at 2/4/15 1:48 PM:

[jira] [Comment Edited] (SPARK-5021) GaussianMixtureEM should be faster for SparseVector input

[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14305058#comment-14305058 ] Manoj Kumar edited comment on SPARK-5021 at 2/4/15 1:19 PM:

[jira] [Commented] (SPARK-5021) GaussianMixtureEM should be faster for SparseVector input

[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14305066#comment-14305066 ] Manoj Kumar commented on SPARK-5021: I just realized that it renders badly. Here is

[jira] [Commented] (SPARK-5021) GaussianMixtureEM should be faster for SparseVector input

[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14305058#comment-14305058 ] Manoj Kumar commented on SPARK-5021: Hmm. I figured it out, it is because I have

[jira] [Comment Edited] (SPARK-5021) GaussianMixtureEM should be faster for SparseVector input

[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14305058#comment-14305058 ] Manoj Kumar edited comment on SPARK-5021 at 2/4/15 1:18 PM:

[jira] [Commented] (SPARK-5016) GaussianMixtureEM should distribute matrix inverse for large numFeatures, k

[ https://issues.apache.org/jira/browse/SPARK-5016?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14306688#comment-14306688 ] Manoj Kumar commented on SPARK-5016: Hi, I would like to fix this (since I'm familiar

[jira] [Commented] (SPARK-5021) GaussianMixtureEM should be faster for SparseVector input

[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14306691#comment-14306691 ] Manoj Kumar commented on SPARK-5021: [~tgaloppo] Is there are any way we could have a

[jira] [Comment Edited] (SPARK-5021) GaussianMixtureEM should be faster for SparseVector input

[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14306549#comment-14306549 ] Manoj Kumar edited comment on SPARK-5021 at 2/5/15 4:05 AM:

[jira] [Commented] (SPARK-5021) GaussianMixtureEM should be faster for SparseVector input

[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14304099#comment-14304099 ] Manoj Kumar commented on SPARK-5021: Hi. I'm almost there. I have one last question.

[jira] [Comment Edited] (SPARK-5021) GaussianMixtureEM should be faster for SparseVector input

[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14304099#comment-14304099 ] Manoj Kumar edited comment on SPARK-5021 at 2/3/15 10:01 PM: -

[jira] [Comment Edited] (SPARK-5021) GaussianMixtureEM should be faster for SparseVector input

[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14304099#comment-14304099 ] Manoj Kumar edited comment on SPARK-5021 at 2/3/15 10:02 PM: -

[jira] [Commented] (SPARK-5021) GaussianMixtureEM should be faster for SparseVector input

[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14300889#comment-14300889 ] Manoj Kumar commented on SPARK-5021: Sorry for the delay, I just started going through

[jira] [Commented] (SPARK-5021) GaussianMixtureEM should be faster for SparseVector input

[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14300927#comment-14300927 ] Manoj Kumar commented on SPARK-5021: I see that it is resolved in master. What do you

[jira] [Commented] (SPARK-5021) GaussianMixtureEM should be faster for SparseVector input

[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14296948#comment-14296948 ] Manoj Kumar commented on SPARK-5021: Sorry for being dense, but how do I access the

[jira] [Commented] (SPARK-5257) SparseVector indices must be non-negative

[ https://issues.apache.org/jira/browse/SPARK-5257?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14285336#comment-14285336 ] Manoj Kumar commented on SPARK-5257: Sure. I thought it was something I could patch up

[jira] [Commented] (SPARK-5257) SparseVector indices must be non-negative

[ https://issues.apache.org/jira/browse/SPARK-5257?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14285139#comment-14285139 ] Manoj Kumar commented on SPARK-5257: [~mengxr] Can you please mark this as resolved.

[jira] [Commented] (SPARK-5021) GaussianMixtureEM should be faster for SparseVector input

[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14284299#comment-14284299 ] Manoj Kumar commented on SPARK-5021: [~josephkb] Can you please assign this to me? I

[jira] [Commented] (SPARK-3381) DecisionTree: eliminate bins for unordered features

[ https://issues.apache.org/jira/browse/SPARK-3381?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14281820#comment-14281820 ] Manoj Kumar commented on SPARK-3381: Hi, I would like to work on this, but preferably

[jira] [Commented] (SPARK-3726) RandomForest: Support for bootstrap options

[ https://issues.apache.org/jira/browse/SPARK-3726?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14280658#comment-14280658 ] Manoj Kumar commented on SPARK-3726: Ah I see. I had my doubts when I started looking

[jira] [Commented] (SPARK-3726) RandomForest: Support for bootstrap options

[ https://issues.apache.org/jira/browse/SPARK-3726?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14277643#comment-14277643 ] Manoj Kumar commented on SPARK-3726: [~josephkb] You seem to report issues that I

[jira] [Commented] (SPARK-2909) Indexing for SparseVector in pyspark

[ https://issues.apache.org/jira/browse/SPARK-2909?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14273880#comment-14273880 ] Manoj Kumar commented on SPARK-2909: [~josephkb] Sorry for spamming your inbox, but

[jira] [Comment Edited] (SPARK-5022) Change VectorUDT to object

[ https://issues.apache.org/jira/browse/SPARK-5022?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14270817#comment-14270817 ] Manoj Kumar edited comment on SPARK-5022 at 1/9/15 9:50 AM:

[jira] [Commented] (SPARK-5022) Change VectorUDT to object

[ https://issues.apache.org/jira/browse/SPARK-5022?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14270817#comment-14270817 ] Manoj Kumar commented on SPARK-5022: @josephkb I want to have a go at this one. Should

[jira] [Commented] (SPARK-5022) Change VectorUDT to object

[ https://issues.apache.org/jira/browse/SPARK-5022?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14271608#comment-14271608 ] Manoj Kumar commented on SPARK-5022: Hi, Thanks for the reply. I have worked on

[jira] [Commented] (SPARK-4406) SVD should check for k 1

[ https://issues.apache.org/jira/browse/SPARK-4406?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14268180#comment-14268180 ] Manoj Kumar commented on SPARK-4406: Hi Joseph, I believe this issue would be simple

[jira] [Comment Edited] (SPARK-4406) SVD should check for k 1

[ https://issues.apache.org/jira/browse/SPARK-4406?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14268180#comment-14268180 ] Manoj Kumar edited comment on SPARK-4406 at 1/7/15 8:40 PM: Hi

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