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Mike Dusenberry updated SYSTEMML-946:
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Attachment: mnist_lenet.dml
> OOM on spark dataframe-matrix / csv-matrix conversion
>
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Mike Dusenberry commented on SYSTEMML-72:
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Yeah I believe this was intended to be for a direct
Mike Dusenberry created SYSTEMML-865:
Summary: Add Matrix Wrapper to Python MLContext
Key: SYSTEMML-865
URL: https://issues.apache.org/jira/browse/SYSTEMML-865
Project: SystemML
Issue
Mike Dusenberry created SYSTEMML-869:
Summary: Error converting Large Matrix to Spark DataFrame with
MLContext
Key: SYSTEMML-869
URL: https://issues.apache.org/jira/browse/SYSTEMML-869
Project:
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Mike Dusenberry commented on SYSTEMML-869:
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cc [~deron]
> Error converting Large Matrix to
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Mike Dusenberry commented on SYSTEMML-845:
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So here's the basic summary again:
* 2 scripts,
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Mike Dusenberry updated SYSTEMML-878:
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Description:
We have added a new set of Python APIs to the project, including a wrapper
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Mike Dusenberry commented on SYSTEMML-846:
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cc [~deron] This will require a small update on the
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Mike Dusenberry commented on SYSTEMML-969:
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[~mboehm7] I wanted to try the workaround of
Mike Dusenberry created SYSTEMML-1005:
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Summary: MultiLogReg Test Failure: Invalid input w/ zeros for
rexpand ignore=false (rlen=1617, nnz=1455).
Key: SYSTEMML-1005
URL:
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Mike Dusenberry updated SYSTEMML-1005:
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Description:
Currently, the {{test_mllearn.py -> TestMLLearn.testLogisticSK1}} test
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Mike Dusenberry updated SYSTEMML-1005:
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Description:
Currently, the {{test_mllearn.py -> TestMLLearn.testLogisticSK1}} test
Mike Dusenberry created SYSTEMML-1006:
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Summary: Minor Python MLContext and Test Cleanup
Key: SYSTEMML-1006
URL: https://issues.apache.org/jira/browse/SYSTEMML-1006
Project: SystemML
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Mike Dusenberry resolved SYSTEMML-1007.
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Resolution: Fixed
Fix Version/s: SystemML 0.11
Merged in [commit 0c63f5f |
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Mike Dusenberry updated SYSTEMML-1006:
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Summary: Python MLContext and Test Cleanup (was: Minor Python MLContext
and Test
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Mike Dusenberry updated SYSTEMML-1006:
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Component/s: APIs
> Python MLContext and Test Cleanup
>
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Mike Dusenberry updated SYSTEMML-1007:
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Component/s: APIs
> Add URL Scripts to Python MLContext
>
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Mike Dusenberry updated SYSTEMML-995:
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Summary: MLContext dataframe-frame conversion with index column & vector
column (was:
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Mike Dusenberry commented on SYSTEMML-993:
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Ah that experiment with the hash functions is quite
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Mike Dusenberry updated SYSTEMML-995:
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Description:
MLContext currently always assumes data frame to frame conversion without
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Mike Dusenberry commented on SYSTEMML-995:
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Additionally, I'm running into null pointer
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Mike Dusenberry commented on SYSTEMML-993:
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Excellent! Eagerly looking forward to making use
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Mike Dusenberry updated SYSTEMML-995:
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Description:
MLContext currently always assumes data frame to frame conversion without
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Mike Dusenberry edited comment on SYSTEMML-995 at 10/1/16 3:14 AM:
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Mike Dusenberry commented on SYSTEMML-995:
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Okay great, this overall issue has been resolved
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Mike Dusenberry commented on SYSTEMML-995:
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Also, just to follow up with that null pointer
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Mike Dusenberry commented on SYSTEMML-994:
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Thanks, [~mboehm7]. I've updated the config
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Mike Dusenberry commented on SYSTEMML-994:
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Also, latest run failed with heap space OOM error:
Mike Dusenberry created SYSTEMML-994:
Summary: GC OOM: Binary Matrix to Frame Conversion
Key: SYSTEMML-994
URL: https://issues.apache.org/jira/browse/SYSTEMML-994
Project: SystemML
Issue
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Mike Dusenberry edited comment on SYSTEMML-1000 at 10/1/16 8:54 PM:
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Mike Dusenberry edited comment on SYSTEMML-1000 at 10/1/16 8:53 PM:
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Mike Dusenberry commented on SYSTEMML-1000:
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So just to be clear, I don't have the bias
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Mike Dusenberry commented on SYSTEMML-1001:
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Yeah although this is not as common, it would be
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Mike Dusenberry commented on SYSTEMML-996:
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Great, that fixed this issue!
> Unnecessary
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Mike Dusenberry commented on SYSTEMML-995:
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[~mboehm7] Great, eagerly looking forward to making
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Mike Dusenberry edited comment on SYSTEMML-995 at 10/1/16 5:38 PM:
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Mike Dusenberry edited comment on SYSTEMML-995 at 10/1/16 5:39 PM:
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Mike Dusenberry commented on SYSTEMML-995:
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Alright I fixed that issue, but now I'm still
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Mike Dusenberry commented on SYSTEMML-995:
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Yeah here was the explain output:
{code}
--MAIN
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Mike Dusenberry edited comment on SYSTEMML-951 at 10/10/16 9:32 PM:
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Mike Dusenberry commented on SYSTEMML-951:
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[~mboehm7] Excellent! I gave the new patch a try,
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Mike Dusenberry updated SYSTEMML-1047:
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Description:
Currently, when MLContext is run with Statistics turned on, the
Mike Dusenberry created SYSTEMML-1047:
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Summary: Statistics Yields Incorrect Timing -- 0 elapsed time
Key: SYSTEMML-1047
URL: https://issues.apache.org/jira/browse/SYSTEMML-1047
Project: SystemML
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Mike Dusenberry commented on SYSTEMML-515:
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cc [~nakul02]
> 'Sparsity' Parameter For `rand`
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Mike Dusenberry reassigned SYSTEMML-951:
Assignee: Mike Dusenberry (was: Matthias Boehm)
> Efficient spark right
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Mike Dusenberry updated SYSTEMML-951:
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Assignee: Matthias Boehm (was: Mike Dusenberry)
> Efficient spark right indexing via
Mike Dusenberry created SYSTEMML-1053:
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Summary: DataFrame Sparse Row Conversion Exception
Key: SYSTEMML-1053
URL: https://issues.apache.org/jira/browse/SYSTEMML-1053
Project: SystemML
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Mike Dusenberry closed SYSTEMML-709.
Resolution: Won't Fix
Fix Version/s: Not Applicable
Rather than change this, we
Mike Dusenberry created SYSTEMML-1113:
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Summary: Vectorize im2col
Key: SYSTEMML-1113
URL: https://issues.apache.org/jira/browse/SYSTEMML-1113
Project: SystemML
Issue Type: Sub-task
Mike Dusenberry created SYSTEMML-1115:
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Summary: Vectorize Convolution
Key: SYSTEMML-1115
URL: https://issues.apache.org/jira/browse/SYSTEMML-1115
Project: SystemML
Issue Type: Sub-task
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Mike Dusenberry updated SYSTEMML-1113:
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Description:
The goal here is to vectorize the {{im2col}} function over all examples
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Mike Dusenberry updated SYSTEMML-1114:
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Description:
The goal here is to vectorize the {{pad_image}} function over all
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Mike Dusenberry reassigned SYSTEMML-1114:
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Assignee: Mike Dusenberry
> Vectorize pad_image
> ---
>
>
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Mike Dusenberry commented on SYSTEMML-1077:
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Great! Should we extract that bug fix into a
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Mike Dusenberry updated SYSTEMML-1077:
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Fix Version/s: SystemML 0.11
> Max Pooling Null Pointer
>
>
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Mike Dusenberry updated SYSTEMML-1076:
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Fix Version/s: SystemML 0.11
> Sparse Max Pooling Unsupported
>
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Mike Dusenberry updated SYSTEMML-1076:
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Assignee: Niketan Pansare
> Sparse Max Pooling Unsupported
>
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Mike Dusenberry closed SYSTEMML-1000.
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> Allow users to pass non-1 bias filler in conv_builtin.dml
>
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Mike Dusenberry reassigned SYSTEMML-1000:
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Assignee: Mike Dusenberry
> Allow users to pass non-1 bias filler in
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Mike Dusenberry updated SYSTEMML-1076:
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Affects Version/s: SystemML 0.11
> Sparse Max Pooling Unsupported
>
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Mike Dusenberry updated SYSTEMML-1077:
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Affects Version/s: SystemML 0.11
> Max Pooling Null Pointer
>
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Mike Dusenberry resolved SYSTEMML-1000.
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Resolution: Not A Problem
Fix Version/s: Not Applicable
> Allow users to
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Mike Dusenberry commented on SYSTEMML-1078:
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cc [~nakul02], [~niketanpansare]
> Ultra Sparse
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Mike Dusenberry updated SYSTEMML-1077:
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Priority: Blocker (was: Major)
> Max Pooling Null Pointer
>
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Mike Dusenberry updated SYSTEMML-1076:
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Priority: Blocker (was: Major)
> Sparse Max Pooling Unsupported
>
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Mike Dusenberry updated SYSTEMML-1077:
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Assignee: Niketan Pansare
> Max Pooling Null Pointer
>
>
>
Mike Dusenberry created SYSTEMML-1078:
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Summary: Ultra Sparse Invalid number of serialized non-zeros
Key: SYSTEMML-1078
URL: https://issues.apache.org/jira/browse/SYSTEMML-1078
Project: SystemML
Mike Dusenberry created SYSTEMML-1077:
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Summary: Max Pooling Null Pointer
Key: SYSTEMML-1077
URL: https://issues.apache.org/jira/browse/SYSTEMML-1077
Project: SystemML
Issue Type: Bug
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Mike Dusenberry updated SYSTEMML-1077:
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Description:
Currently, if a matrix of all zeros is passed into `max_pool`, a null
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Mike Dusenberry commented on SYSTEMML-1076:
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cc [~niketanpansare]
> Sparse Max Pooling
Mike Dusenberry created SYSTEMML-1076:
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Summary: Sparse Max Pooling Unsupported
Key: SYSTEMML-1076
URL: https://issues.apache.org/jira/browse/SYSTEMML-1076
Project: SystemML
Issue Type:
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Mike Dusenberry updated SYSTEMML-1076:
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Description:
Currently, our max pooling built-in operator does not support sparse
Mike Dusenberry created SYSTEMML-1068:
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Summary: Add Code Highlighting
Key: SYSTEMML-1068
URL: https://issues.apache.org/jira/browse/SYSTEMML-1068
Project: SystemML
Issue Type: Sub-task
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Mike Dusenberry commented on SYSTEMML-1068:
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cc [~jazares], [~dlesaca]
> Add Code
Mike Dusenberry created SYSTEMML-1070:
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Summary: Update Favicon
Key: SYSTEMML-1070
URL: https://issues.apache.org/jira/browse/SYSTEMML-1070
Project: SystemML
Issue Type: Sub-task
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Mike Dusenberry commented on SYSTEMML-951:
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[~mboehm7] Okay I tried the latest patch. A few
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Mike Dusenberry commented on SYSTEMML-951:
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Excellent, and thanks for the descriptions as
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Mike Dusenberry commented on SYSTEMML-951:
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Alright, I figured out what the issue was. In
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Mike Dusenberry commented on SYSTEMML-951:
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Okay, I pushed the fix in for the serialization
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Mike Dusenberry resolved SYSTEMML-1171.
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Resolution: Fixed
Fix Version/s: SystemML 1.0
Merged in [commit 2fa6141 |
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Mike Dusenberry commented on SYSTEMML-515:
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cc [~niketanpansare], [~mboehm7], [~deron] We
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Mike Dusenberry edited comment on SYSTEMML-515 at 1/10/17 1:29 AM:
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cc
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Mike Dusenberry commented on SYSTEMML-1169:
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Thanks, [~niketanpansare]. We need to extend
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Mike Dusenberry commented on SYSTEMML-686:
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That's a good set of options. Here are some
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Mike Dusenberry commented on SYSTEMML-1140:
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Copying from GitHub [PR 329 |
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Mike Dusenberry edited comment on SYSTEMML-686 at 1/6/17 7:11 PM:
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Mike Dusenberry updated SYSTEMML-1171:
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Description: We should clean up the Python distribution package by removing
the
Mike Dusenberry created SYSTEMML-1159:
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Summary: Enable Remote Hyperparameter Tuning
Key: SYSTEMML-1159
URL: https://issues.apache.org/jira/browse/SYSTEMML-1159
Project: SystemML
Issue
Mike Dusenberry created SYSTEMML-1160:
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Summary: Enable Prefetching of Mini-Batches
Key: SYSTEMML-1160
URL: https://issues.apache.org/jira/browse/SYSTEMML-1160
Project: SystemML
Issue
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Mike Dusenberry updated SYSTEMML-1137:
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Priority: Blocker (was: Major)
> Mismatch between expected and actual nonzeros when
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Mike Dusenberry closed SYSTEMML-1137.
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Resolution: Duplicate
Fix Version/s: Not Applicable
> Mismatch between expected
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https://issues.apache.org/jira/browse/SYSTEMML-1159?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mike Dusenberry updated SYSTEMML-1159:
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Description:
Training a parameterized machine learning model (such as a large neural
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https://issues.apache.org/jira/browse/SYSTEMML-1001?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mike Dusenberry reassigned SYSTEMML-1001:
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Assignee: Mike Dusenberry
> Allow users to pass non-0 padding in
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https://issues.apache.org/jira/browse/SYSTEMML-1078?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mike Dusenberry updated SYSTEMML-1078:
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Description:
Randomly during training of a model, the following error will occur.
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https://issues.apache.org/jira/browse/SYSTEMML-1428?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mike Dusenberry updated SYSTEMML-1428:
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Description:
While working on SYSTEMML-1408, it was discovered that the built-in max
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https://issues.apache.org/jira/browse/SYSTEMML-1434?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mike Dusenberry updated SYSTEMML-1434:
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Description:
Currently, we make use of broadcasting to allow for binary operations
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https://issues.apache.org/jira/browse/SYSTEMML-1434?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mike Dusenberry updated SYSTEMML-1434:
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Description:
Currently, we make use of broadcasting to allow for binary operations
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https://issues.apache.org/jira/browse/SYSTEMML-1434?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mike Dusenberry updated SYSTEMML-1434:
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Description:
Currently, our engine supports matrix-vector binary operations. For
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https://issues.apache.org/jira/browse/SYSTEMML-1434?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15939520#comment-15939520
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Mike Dusenberry commented on SYSTEMML-1434:
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[~mboehm7] Thanks, I've updated the issue.
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Mike Dusenberry created SYSTEMML-1434:
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Summary: Broadcasting Error
Key: SYSTEMML-1434
URL: https://issues.apache.org/jira/browse/SYSTEMML-1434
Project: SystemML
Issue Type: Bug
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