[jira] [Commented] (SYSTEMML-451) Investigation of embedded DSL with sufficient optimization scope

[ https://issues.apache.org/jira/browse/SYSTEMML-451?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15443797#comment-15443797 ] Niketan Pansare commented on SYSTEMML-451: -- The commit https://github.com/apac

[jira] [Commented] (SYSTEMML-855) Add a "Get Started" tutorial for Python users

[ https://issues.apache.org/jira/browse/SYSTEMML-855?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15443806#comment-15443806 ] Niketan Pansare commented on SYSTEMML-855: -- Fixed as part of commit: https://g

[jira] [Closed] (SYSTEMML-855) Add a "Get Started" tutorial for Python users

[ https://issues.apache.org/jira/browse/SYSTEMML-855?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare closed SYSTEMML-855. > Add a "Get Started" tutorial for Python users >

[jira] [Resolved] (SYSTEMML-855) Add a "Get Started" tutorial for Python users

[ https://issues.apache.org/jira/browse/SYSTEMML-855?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare resolved SYSTEMML-855. -- Resolution: Fixed Assignee: Niketan Pansare Fix Version/s: SystemML 0.1

[jira] [Commented] (SYSTEMML-846) Extend Python MLContext to register NumPy arrays as input/output

[ https://issues.apache.org/jira/browse/SYSTEMML-846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15443810#comment-15443810 ] Niketan Pansare commented on SYSTEMML-846: -- Added support for getting numpy arr

[jira] [Created] (SYSTEMML-877) Allow registering commandline parameter ($) as input in Python MLContext

Niketan Pansare created SYSTEMML-877: Summary: Allow registering commandline parameter ($) as input in Python MLContext Key: SYSTEMML-877 URL: https://issues.apache.org/jira/browse/SYSTEMML-877 P

[jira] [Created] (SYSTEMML-878) Update the Python package from SystemML to systemml

Niketan Pansare created SYSTEMML-878: Summary: Update the Python package from SystemML to systemml Key: SYSTEMML-878 URL: https://issues.apache.org/jira/browse/SYSTEMML-878 Project: SystemML

[jira] [Commented] (SYSTEMML-878) Update the Python package from SystemML to systemml

[ https://issues.apache.org/jira/browse/SYSTEMML-878?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15443815#comment-15443815 ] Niketan Pansare commented on SYSTEMML-878: -- [~mwdus...@us.ibm.com] [~reinw...@u

[jira] [Created] (SYSTEMML-879) Remove the MLResults.getDataFrame and replace usages of getDataFrame("matrixName") with get("matrixName").toDF()

Niketan Pansare created SYSTEMML-879: Summary: Remove the MLResults.getDataFrame and replace usages of getDataFrame("matrixName") with get("matrixName").toDF() Key: SYSTEMML-879 URL: https://issues.apache.org/

[jira] [Commented] (SYSTEMML-846) Extend Python MLContext to register NumPy arrays as input/output

[ https://issues.apache.org/jira/browse/SYSTEMML-846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15443817#comment-15443817 ] Niketan Pansare commented on SYSTEMML-846: -- Remove the MLResults.getNumPyArray,

[jira] [Created] (SYSTEMML-880) Push-down loop structures in Python DSL

Niketan Pansare created SYSTEMML-880: Summary: Push-down loop structures in Python DSL Key: SYSTEMML-880 URL: https://issues.apache.org/jira/browse/SYSTEMML-880 Project: SystemML Issue Ty

[jira] [Created] (SYSTEMML-881) Make Python matrix class feature complete with Language reference

Niketan Pansare created SYSTEMML-881: Summary: Make Python matrix class feature complete with Language reference Key: SYSTEMML-881 URL: https://issues.apache.org/jira/browse/SYSTEMML-881 Project:

[jira] [Created] (SYSTEMML-882) Create documentation for PyDML as well as Python matrix class

Niketan Pansare created SYSTEMML-882: Summary: Create documentation for PyDML as well as Python matrix class Key: SYSTEMML-882 URL: https://issues.apache.org/jira/browse/SYSTEMML-882 Project: Syst

[jira] [Created] (SYSTEMML-883) Release python package along with other artifacts

Niketan Pansare created SYSTEMML-883: Summary: Release python package along with other artifacts Key: SYSTEMML-883 URL: https://issues.apache.org/jira/browse/SYSTEMML-883 Project: SystemML

[jira] [Commented] (SYSTEMML-877) Allow registering commandline parameter ($) as input in Python MLContext

[ https://issues.apache.org/jira/browse/SYSTEMML-877?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15446659#comment-15446659 ] Niketan Pansare commented on SYSTEMML-877: -- Please update the example https://

[jira] [Created] (SYSTEMML-885) Update the algorithm documentation specifying the usage and examples for Scala wrappers

Niketan Pansare created SYSTEMML-885: Summary: Update the algorithm documentation specifying the usage and examples for Scala wrappers Key: SYSTEMML-885 URL: https://issues.apache.org/jira/browse/SYSTEMML-885

[jira] [Updated] (SYSTEMML-885) Update the algorithm documentation specifying the usage and examples for Scala wrappers

[ https://issues.apache.org/jira/browse/SYSTEMML-885?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-885: - Description: The key difference is `import org.apache.sysml.api.ml.LogisticRegression` a

[jira] [Commented] (SYSTEMML-885) Update the algorithm documentation specifying the usage and examples for Scala wrappers

[ https://issues.apache.org/jira/browse/SYSTEMML-885?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15446783#comment-15446783 ] Niketan Pansare commented on SYSTEMML-885: -- [~deron] Do you want to take this o

[jira] [Commented] (SYSTEMML-877) Allow registering commandline parameter ($) as input in Python MLContext

[ https://issues.apache.org/jira/browse/SYSTEMML-877?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15446790#comment-15446790 ] Niketan Pansare commented on SYSTEMML-877: -- Thanks [~mwdus...@us.ibm.com] [~de

[jira] [Commented] (SYSTEMML-883) Release python package along with other artifacts

[ https://issues.apache.org/jira/browse/SYSTEMML-883?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15446791#comment-15446791 ] Niketan Pansare commented on SYSTEMML-883: -- Thanks [~luciano resende] > Releas

[jira] [Closed] (SYSTEMML-446) Exploit GPU BLAS libraries (integration)

[ https://issues.apache.org/jira/browse/SYSTEMML-446?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare closed SYSTEMML-446. Resolution: Fixed Fix Version/s: SystemML 0.11 See https://github.com/apache/incuba

[jira] [Commented] (SYSTEMML-447) Custom GPU kernels for complex operator patterns

[ https://issues.apache.org/jira/browse/SYSTEMML-447?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15501619#comment-15501619 ] Niketan Pansare commented on SYSTEMML-447: -- Initial support for custom GPU kern

[jira] [Closed] (SYSTEMML-728) Implement GPU dense matrix multiplication

[ https://issues.apache.org/jira/browse/SYSTEMML-728?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare closed SYSTEMML-728. Resolution: Fixed Fix Version/s: SystemML 0.11 > Implement GPU dense matrix multipl

[jira] [Created] (SYSTEMML-931) Error while allocating CSRPointer

Niketan Pansare created SYSTEMML-931: Summary: Error while allocating CSRPointer Key: SYSTEMML-931 URL: https://issues.apache.org/jira/browse/SYSTEMML-931 Project: SystemML Issue Type: Bu

[jira] [Created] (SYSTEMML-932) Improve the performance of copyUpperToLowerTriangleDense kernel

Niketan Pansare created SYSTEMML-932: Summary: Improve the performance of copyUpperToLowerTriangleDense kernel Key: SYSTEMML-932 URL: https://issues.apache.org/jira/browse/SYSTEMML-932 Project: Sy

[jira] [Created] (SYSTEMML-933) Chose the block dimensions of custom kernels using CUDA's occupancy API

Niketan Pansare created SYSTEMML-933: Summary: Chose the block dimensions of custom kernels using CUDA's occupancy API Key: SYSTEMML-933 URL: https://issues.apache.org/jira/browse/SYSTEMML-933 Pro

[jira] [Created] (SYSTEMML-934) Fix the forcing of convolution op to GPU

Niketan Pansare created SYSTEMML-934: Summary: Fix the forcing of convolution op to GPU Key: SYSTEMML-934 URL: https://issues.apache.org/jira/browse/SYSTEMML-934 Project: SystemML Issue T

[jira] [Closed] (SYSTEMML-729) Add GPU instructions that utilizes CuDNN v4's conv2d and pooling related functions

[ https://issues.apache.org/jira/browse/SYSTEMML-729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare closed SYSTEMML-729. Resolution: Fixed Fix Version/s: SystemML 0.11 See https://issues.apache.org/jira/b

[jira] [Created] (SYSTEMML-935) Improve the performance of sparse TSMM

Niketan Pansare created SYSTEMML-935: Summary: Improve the performance of sparse TSMM Key: SYSTEMML-935 URL: https://issues.apache.org/jira/browse/SYSTEMML-935 Project: SystemML Issue Typ

[jira] [Created] (SYSTEMML-937) Add custom kernels for sparse binary elementwise operations

Niketan Pansare created SYSTEMML-937: Summary: Add custom kernels for sparse binary elementwise operations Key: SYSTEMML-937 URL: https://issues.apache.org/jira/browse/SYSTEMML-937 Project: System

[jira] [Created] (SYSTEMML-936) Add custom kernels for dense binary elementwise operations

Niketan Pansare created SYSTEMML-936: Summary: Add custom kernels for dense binary elementwise operations Key: SYSTEMML-936 URL: https://issues.apache.org/jira/browse/SYSTEMML-936 Project: SystemML

[jira] [Created] (SYSTEMML-938) Make sparse memory estimation robust by handling unknown nnz.

Niketan Pansare created SYSTEMML-938: Summary: Make sparse memory estimation robust by handling unknown nnz. Key: SYSTEMML-938 URL: https://issues.apache.org/jira/browse/SYSTEMML-938 Project: Syst

[jira] [Created] (SYSTEMML-939) LibMatrixCUDA's vectorScalarMultiply() produces incorrect results.

Niketan Pansare created SYSTEMML-939: Summary: LibMatrixCUDA's vectorScalarMultiply() produces incorrect results. Key: SYSTEMML-939 URL: https://issues.apache.org/jira/browse/SYSTEMML-939 Project:

[jira] [Reopened] (SYSTEMML-446) Exploit GPU BLAS libraries (integration)

[ https://issues.apache.org/jira/browse/SYSTEMML-446?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare reopened SYSTEMML-446: -- > Exploit GPU BLAS libraries (integration) > > >

[jira] [Updated] (SYSTEMML-446) Phase 1: Exploit GPU BLAS libraries (integration)

[ https://issues.apache.org/jira/browse/SYSTEMML-446?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-446: - Summary: Phase 1: Exploit GPU BLAS libraries (integration) (was: Exploit GPU BLAS libra

[jira] [Updated] (SYSTEMML-701) Implement functionality to transfer CP sparse matrixblock to GPU (and back)

[ https://issues.apache.org/jira/browse/SYSTEMML-701?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-701: - Issue Type: Sub-task (was: Task) Parent: SYSTEMML-446 > Implement functionality

[jira] [Updated] (SYSTEMML-702) Implement GPU sparse matrix multiplication

[ https://issues.apache.org/jira/browse/SYSTEMML-702?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-702: - Issue Type: Sub-task (was: Task) Parent: SYSTEMML-446 > Implement GPU sparse ma

[jira] [Updated] (SYSTEMML-727) Add bufferpool integration logic to CUDA backend

[ https://issues.apache.org/jira/browse/SYSTEMML-727?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-727: - Issue Type: Sub-task (was: Task) Parent: SYSTEMML-446 > Add bufferpool integrat

[jira] [Updated] (SYSTEMML-728) Implement GPU dense matrix multiplication

[ https://issues.apache.org/jira/browse/SYSTEMML-728?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-728: - Issue Type: Sub-task (was: Task) Parent: SYSTEMML-446 > Implement GPU dense mat

[jira] [Updated] (SYSTEMML-729) Add GPU instructions that utilizes CuDNN v4's conv2d and pooling related functions

[ https://issues.apache.org/jira/browse/SYSTEMML-729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-729: - Issue Type: Sub-task (was: Task) Parent: SYSTEMML-446 > Add GPU instructions th

[jira] [Updated] (SYSTEMML-931) Error while allocating CSRPointer

[ https://issues.apache.org/jira/browse/SYSTEMML-931?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-931: - Issue Type: Sub-task (was: Bug) Parent: SYSTEMML-446 > Error while allocating C

[jira] [Updated] (SYSTEMML-742) Implement MMTSJGPUInstruction instruction for GPU backend along with corresponding Hops/Lops

[ https://issues.apache.org/jira/browse/SYSTEMML-742?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-742: - Issue Type: Sub-task (was: Task) Parent: SYSTEMML-446 > Implement MMTSJGPUInstr

[jira] [Updated] (SYSTEMML-447) Phase 2: Custom GPU kernels for complex operator patterns

[ https://issues.apache.org/jira/browse/SYSTEMML-447?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-447: - Summary: Phase 2: Custom GPU kernels for complex operator patterns (was: Custom GPU ker

[jira] [Updated] (SYSTEMML-932) Improve the performance of copyUpperToLowerTriangleDense kernel

[ https://issues.apache.org/jira/browse/SYSTEMML-932?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-932: - Issue Type: Sub-task (was: Improvement) Parent: SYSTEMML-446 > Improve the perf

[jira] [Updated] (SYSTEMML-932) Improve the performance of copyUpperToLowerTriangleDense kernel

[ https://issues.apache.org/jira/browse/SYSTEMML-932?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-932: - Issue Type: Bug (was: Sub-task) Parent: (was: SYSTEMML-446) > Improve the p

[jira] [Updated] (SYSTEMML-932) Improve the performance of copyUpperToLowerTriangleDense kernel

[ https://issues.apache.org/jira/browse/SYSTEMML-932?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-932: - Issue Type: Sub-task (was: Bug) Parent: SYSTEMML-447 > Improve the performance

[jira] [Updated] (SYSTEMML-933) Chose the block dimensions of custom kernels using CUDA's occupancy API

[ https://issues.apache.org/jira/browse/SYSTEMML-933?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-933: - Issue Type: Sub-task (was: Improvement) Parent: SYSTEMML-447 > Chose the block

[jira] [Updated] (SYSTEMML-447) Phase 2: Custom GPU kernels for complex operator patterns and for improving performance of sparse operators

[ https://issues.apache.org/jira/browse/SYSTEMML-447?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-447: - Summary: Phase 2: Custom GPU kernels for complex operator patterns and for improving per

[jira] [Updated] (SYSTEMML-934) Fix the forcing of convolution op to GPU

[ https://issues.apache.org/jira/browse/SYSTEMML-934?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-934: - Description: See org.apache.sysml.hops.ConvolutionOp's constructLops() Though this affe

[jira] [Created] (SYSTEMML-940) Add support for cusparse geam

Niketan Pansare created SYSTEMML-940: Summary: Add support for cusparse geam Key: SYSTEMML-940 URL: https://issues.apache.org/jira/browse/SYSTEMML-940 Project: SystemML Issue Type: Sub-t

[jira] [Created] (SYSTEMML-941) Add support for cusparse axpy

Niketan Pansare created SYSTEMML-941: Summary: Add support for cusparse axpy Key: SYSTEMML-941 URL: https://issues.apache.org/jira/browse/SYSTEMML-941 Project: SystemML Issue Type: Sub-ta

[jira] [Updated] (SYSTEMML-941) Add support for cusparse axpy

[ https://issues.apache.org/jira/browse/SYSTEMML-941?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-941: - Description: See LibMatrixCUDA's vectorScalarMultiply() [~nakul02] was:See LibMatrix

[jira] [Updated] (SYSTEMML-935) Improve the performance of sparse TSMM either by using/implement sparse dsyrk

[ https://issues.apache.org/jira/browse/SYSTEMML-935?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-935: - Summary: Improve the performance of sparse TSMM either by using/implement sparse dsyrk

[jira] [Updated] (SYSTEMML-935) Improve the performance of sparse TSMM either by using/implement sparse dsyrk

[ https://issues.apache.org/jira/browse/SYSTEMML-935?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-935: - Issue Type: Sub-task (was: Bug) Parent: SYSTEMML-446 > Improve the performance

[jira] [Updated] (SYSTEMML-935) Improve the performance of sparse TSMM either by using/implement sparse dsyrk

[ https://issues.apache.org/jira/browse/SYSTEMML-935?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-935: - Description: Either by adding custom kernel or using cuSparse API. See org.apache.sysml

[jira] [Updated] (SYSTEMML-939) LibMatrixCUDA's vectorScalarMultiply() produces incorrect results.

[ https://issues.apache.org/jira/browse/SYSTEMML-939?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-939: - Issue Type: Sub-task (was: Bug) Parent: SYSTEMML-446 > LibMatrixCUDA's vectorSc

[jira] [Updated] (SYSTEMML-936) Add custom kernels for dense binary elementwise operations

[ https://issues.apache.org/jira/browse/SYSTEMML-936?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-936: - Issue Type: Sub-task (was: Bug) Parent: SYSTEMML-447 > Add custom kernels for d

[jira] [Updated] (SYSTEMML-937) Add custom kernels for sparse binary elementwise operations

[ https://issues.apache.org/jira/browse/SYSTEMML-937?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-937: - Issue Type: Sub-task (was: Bug) Parent: SYSTEMML-447 > Add custom kernels for s

[jira] [Updated] (SYSTEMML-937) Add custom kernels for sparse binary elementwise operations

[ https://issues.apache.org/jira/browse/SYSTEMML-937?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-937: - Description: [~nakul02] > Add custom kernels for sparse binary elementwise operations >

[jira] [Updated] (SYSTEMML-938) Make sparse memory estimation robust by handling unknown nnz.

[ https://issues.apache.org/jira/browse/SYSTEMML-938?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-938: - Issue Type: Sub-task (was: Bug) Parent: SYSTEMML-446 > Make sparse memory estim

[jira] [Updated] (SYSTEMML-731) Conduct initial performance experiments for mat mult

[ https://issues.apache.org/jira/browse/SYSTEMML-731?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-731: - Issue Type: Sub-task (was: Task) Parent: SYSTEMML-446 > Conduct initial perform

[jira] [Updated] (SYSTEMML-737) Phase 4: Explore Multi-GPU instructions on the driver

[ https://issues.apache.org/jira/browse/SYSTEMML-737?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-737: - Summary: Phase 4: Explore Multi-GPU instructions on the driver (was: Explore Multi-GPU

[jira] [Updated] (SYSTEMML-732) Phase 3: Explore different memory management policy for GPU

[ https://issues.apache.org/jira/browse/SYSTEMML-732?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-732: - Summary: Phase 3: Explore different memory management policy for GPU (was: Explore diff

[jira] [Updated] (SYSTEMML-738) Phase 5: Explore distributed GPU instructions

[ https://issues.apache.org/jira/browse/SYSTEMML-738?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-738: - Summary: Phase 5: Explore distributed GPU instructions (was: Explore distributed GPU in

[jira] [Created] (SYSTEMML-943) Create documentation explaining setup/usage for the GPU backend

Niketan Pansare created SYSTEMML-943: Summary: Create documentation explaining setup/usage for the GPU backend Key: SYSTEMML-943 URL: https://issues.apache.org/jira/browse/SYSTEMML-943 Project: Sy

[jira] [Commented] (SYSTEMML-446) Phase 1: Exploit GPU BLAS libraries (integration)

[ https://issues.apache.org/jira/browse/SYSTEMML-446?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15502247#comment-15502247 ] Niketan Pansare commented on SYSTEMML-446: -- That is correct, with PR https://gi

[jira] [Created] (SYSTEMML-942) Enable setting GPU from MLContext (and related APIs)

Niketan Pansare created SYSTEMML-942: Summary: Enable setting GPU from MLContext (and related APIs) Key: SYSTEMML-942 URL: https://issues.apache.org/jira/browse/SYSTEMML-942 Project: SystemML

[jira] [Commented] (SYSTEMML-704) Host jcu*.jar libraries on mvn repo

[ https://issues.apache.org/jira/browse/SYSTEMML-704?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15504041#comment-15504041 ] Niketan Pansare commented on SYSTEMML-704: -- [~luciano resende] Can you please t

[jira] [Commented] (SYSTEMML-731) Conduct initial performance experiments for mat mult

[ https://issues.apache.org/jira/browse/SYSTEMML-731?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15504047#comment-15504047 ] Niketan Pansare commented on SYSTEMML-731: -- Performance benchmarks for sparse m

[jira] [Commented] (SYSTEMML-931) Error while allocating CSRPointer

[ https://issues.apache.org/jira/browse/SYSTEMML-931?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15504102#comment-15504102 ] Niketan Pansare commented on SYSTEMML-931: -- A related issues to this JIRA can b

[jira] [Commented] (SYSTEMML-948) Convolution Null Pointer Exception

[ https://issues.apache.org/jira/browse/SYSTEMML-948?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15511514#comment-15511514 ] Niketan Pansare commented on SYSTEMML-948: -- Thanks Mike, I will look into it :)

[jira] [Created] (SYSTEMML-957) seq in for loop requires third parameter

Niketan Pansare created SYSTEMML-957: Summary: seq in for loop requires third parameter Key: SYSTEMML-957 URL: https://issues.apache.org/jira/browse/SYSTEMML-957 Project: SystemML Issue T

[jira] [Assigned] (SYSTEMML-957) seq in for loop requires third parameter

[ https://issues.apache.org/jira/browse/SYSTEMML-957?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare reassigned SYSTEMML-957: Assignee: Niketan Pansare > seq in for loop requires third parameter > --

[jira] [Commented] (SYSTEMML-954) PyDML's range() needs all 3 arguments

[ https://issues.apache.org/jira/browse/SYSTEMML-954?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15517957#comment-15517957 ] Niketan Pansare commented on SYSTEMML-954: -- I agree with [~mboehm7]. [~sandeepn

[jira] [Comment Edited] (SYSTEMML-954) PyDML's range() needs all 3 arguments

[ https://issues.apache.org/jira/browse/SYSTEMML-954?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15517957#comment-15517957 ] Niketan Pansare edited comment on SYSTEMML-954 at 9/24/16 12:09 AM: --

[jira] [Commented] (SYSTEMML-948) Convolution Null Pointer Exception

[ https://issues.apache.org/jira/browse/SYSTEMML-948?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15517961#comment-15517961 ] Niketan Pansare commented on SYSTEMML-948: -- Created a PR https://github.com/apa

[jira] [Commented] (SYSTEMML-957) seq in for loop requires third parameter

[ https://issues.apache.org/jira/browse/SYSTEMML-957?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15533462#comment-15533462 ] Niketan Pansare commented on SYSTEMML-957: -- Resolved in commit https://github.

[jira] [Resolved] (SYSTEMML-957) seq in for loop requires third parameter

[ https://issues.apache.org/jira/browse/SYSTEMML-957?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare resolved SYSTEMML-957. -- Resolution: Fixed Fix Version/s: SystemML 0.11 > seq in for loop requires third

[jira] [Resolved] (SYSTEMML-948) Convolution Null Pointer Exception

[ https://issues.apache.org/jira/browse/SYSTEMML-948?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare resolved SYSTEMML-948. -- Resolution: Fixed Fix Version/s: SystemML 0.11 Resolved in commit https://gith

[jira] [Commented] (SYSTEMML-917) Usability improvements for Python DSL

[ https://issues.apache.org/jira/browse/SYSTEMML-917?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15533485#comment-15533485 ] Niketan Pansare commented on SYSTEMML-917: -- 1. Generate descriptive error messa

[jira] [Created] (SYSTEMML-976) Add explain and stats option to Python DSL

Niketan Pansare created SYSTEMML-976: Summary: Add explain and stats option to Python DSL Key: SYSTEMML-976 URL: https://issues.apache.org/jira/browse/SYSTEMML-976 Project: SystemML Issue

[jira] [Created] (SYSTEMML-978) Implement XGBoost in DML and expose it through mllearn

Niketan Pansare created SYSTEMML-978: Summary: Implement XGBoost in DML and expose it through mllearn Key: SYSTEMML-978 URL: https://issues.apache.org/jira/browse/SYSTEMML-978 Project: SystemML

[jira] [Resolved] (SYSTEMML-978) Implement XGBoost in DML and expose it through mllearn

[ https://issues.apache.org/jira/browse/SYSTEMML-978?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare resolved SYSTEMML-978. -- Resolution: Duplicate Fix Version/s: Not Applicable > Implement XGBoost in DML

[jira] [Updated] (SYSTEMML-822) Gradient Boosted Trees

[ https://issues.apache.org/jira/browse/SYSTEMML-822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-822: - Description: It would be great to have an implementation of gradient boosted trees in S

[jira] [Updated] (SYSTEMML-822) Gradient Boosted Trees

[ https://issues.apache.org/jira/browse/SYSTEMML-822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-822: - Labels: Hacktoberfest features (was: features) > Gradient Boosted Trees > -

[jira] [Commented] (SYSTEMML-822) Gradient Boosted Trees

[ https://issues.apache.org/jira/browse/SYSTEMML-822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15533614#comment-15533614 ] Niketan Pansare commented on SYSTEMML-822: -- [~mwdus...@us.ibm.com] [~iyounus] [

[jira] [Commented] (SYSTEMML-777) Add Restricted Boltzmann Machines to SystemML

[ https://issues.apache.org/jira/browse/SYSTEMML-777?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15533628#comment-15533628 ] Niketan Pansare commented on SYSTEMML-777: -- [~manchev] I was not able to access

[jira] [Commented] (SYSTEMML-700) Inflexible category labels for Multinomial Logistic Regression

[ https://issues.apache.org/jira/browse/SYSTEMML-700?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15533640#comment-15533640 ] Niketan Pansare commented on SYSTEMML-700: -- As an FYI, the algorithm wrappers p

[jira] [Comment Edited] (SYSTEMML-700) Inflexible category labels for Multinomial Logistic Regression

[ https://issues.apache.org/jira/browse/SYSTEMML-700?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15533640#comment-15533640 ] Niketan Pansare edited comment on SYSTEMML-700 at 9/29/16 6:37 PM: ---

[jira] [Created] (SYSTEMML-979) Add support for bayesian optimization

Niketan Pansare created SYSTEMML-979: Summary: Add support for bayesian optimization Key: SYSTEMML-979 URL: https://issues.apache.org/jira/browse/SYSTEMML-979 Project: SystemML Issue Type

[jira] [Created] (SYSTEMML-980) Implement mllearn and scala wrappers for t-sne

Niketan Pansare created SYSTEMML-980: Summary: Implement mllearn and scala wrappers for t-sne Key: SYSTEMML-980 URL: https://issues.apache.org/jira/browse/SYSTEMML-980 Project: SystemML I

[jira] [Created] (SYSTEMML-981) Add mllearn and scala wrappers for ALS

Niketan Pansare created SYSTEMML-981: Summary: Add mllearn and scala wrappers for ALS Key: SYSTEMML-981 URL: https://issues.apache.org/jira/browse/SYSTEMML-981 Project: SystemML Issue Typ

[jira] [Created] (SYSTEMML-982) Add mllearn and scala wrappers for Cox

Niketan Pansare created SYSTEMML-982: Summary: Add mllearn and scala wrappers for Cox Key: SYSTEMML-982 URL: https://issues.apache.org/jira/browse/SYSTEMML-982 Project: SystemML Issue Typ

[jira] [Updated] (SYSTEMML-981) Add mllearn and scala wrappers for ALS

[ https://issues.apache.org/jira/browse/SYSTEMML-981?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-981: - Description: See https://apache.github.io/incubator-systemml/algorithms-matrix-factoriza

[jira] [Created] (SYSTEMML-983) Add mllearn and scala wrappers for GLM

Niketan Pansare created SYSTEMML-983: Summary: Add mllearn and scala wrappers for GLM Key: SYSTEMML-983 URL: https://issues.apache.org/jira/browse/SYSTEMML-983 Project: SystemML Issue Typ

[jira] [Created] (SYSTEMML-984) Add mllearn and scala wrappers for PCA

Niketan Pansare created SYSTEMML-984: Summary: Add mllearn and scala wrappers for PCA Key: SYSTEMML-984 URL: https://issues.apache.org/jira/browse/SYSTEMML-984 Project: SystemML Issue Typ

[jira] [Created] (SYSTEMML-985) Add mllearn and scala wrappers for Kmeans

Niketan Pansare created SYSTEMML-985: Summary: Add mllearn and scala wrappers for Kmeans Key: SYSTEMML-985 URL: https://issues.apache.org/jira/browse/SYSTEMML-985 Project: SystemML Issue

[jira] [Updated] (SYSTEMML-986) Add mllearn and scala wrappers for random forest

[ https://issues.apache.org/jira/browse/SYSTEMML-986?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Niketan Pansare updated SYSTEMML-986: - Labels: Hacktoberfest starter (was: ) > Add mllearn and scala wrappers for random fores

[jira] [Created] (SYSTEMML-986) Add mllearn and scala wrappers for random forest

Niketan Pansare created SYSTEMML-986: Summary: Add mllearn and scala wrappers for random forest Key: SYSTEMML-986 URL: https://issues.apache.org/jira/browse/SYSTEMML-986 Project: SystemML

[jira] [Created] (SYSTEMML-987) Add mllearn and scala wrappers for decision tree

Niketan Pansare created SYSTEMML-987: Summary: Add mllearn and scala wrappers for decision tree Key: SYSTEMML-987 URL: https://issues.apache.org/jira/browse/SYSTEMML-987 Project: SystemML

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