Niketan Pansare created SYSTEMML-1087:
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Summary: Remove the need to provide SystemML.jar when user
installs SystemML through pip
Key: SYSTEMML-1087
URL: https://issues.apache.org/jira/browse/SYSTEMML-1087
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Niketan Pansare resolved SYSTEMML-1086.
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Resolution: Fixed
Fix Version/s: SystemML 1.0
Closed in
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Niketan Pansare resolved SYSTEMML-1087.
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Resolution: Fixed
Fix Version/s: SystemML 1.0
Closed in
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Niketan Pansare commented on SYSTEMML-880:
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Design decisions of PR
Niketan Pansare created SYSTEMML-1128:
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Summary: DML utility script to shuffle input dataset
Key: SYSTEMML-1128
URL: https://issues.apache.org/jira/browse/SYSTEMML-1128
Project: SystemML
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https://issues.apache.org/jira/browse/SYSTEMML-1099?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15678144#comment-15678144
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Niketan Pansare commented on SYSTEMML-1099:
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Isn't systemml-0.12.0-incubating-SNAPSHOT.jar
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Niketan Pansare commented on SYSTEMML-1099:
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[~luciano resende] I have delivered initial
Niketan Pansare created SYSTEMML-1116:
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Summary: Make Python DSL NumPy-friendly
Key: SYSTEMML-1116
URL: https://issues.apache.org/jira/browse/SYSTEMML-1116
Project: SystemML
Issue Type:
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https://issues.apache.org/jira/browse/SYSTEMML-1116?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Niketan Pansare updated SYSTEMML-1116:
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Description:
For example: usage of ufunc:
import systemml as sml
import numpy as np
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Niketan Pansare updated SYSTEMML-1116:
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Description:
For example: usage of ufunc:
```python
import systemml as sml
import
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Niketan Pansare commented on SYSTEMML-1099:
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Sure. I can update the PR to add
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https://issues.apache.org/jira/browse/SYSTEMML-1043?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15680623#comment-15680623
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Niketan Pansare commented on SYSTEMML-1043:
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Hi [~iyounus]
I tried the above script with
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Niketan Pansare edited comment on SYSTEMML-1043 at 11/20/16 7:49 AM:
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Niketan Pansare edited comment on SYSTEMML-1043 at 11/20/16 7:50 AM:
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Niketan Pansare edited comment on SYSTEMML-1043 at 11/20/16 7:47 AM:
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Niketan Pansare edited comment on SYSTEMML-1043 at 11/20/16 7:52 AM:
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Niketan Pansare commented on SYSTEMML-1099:
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The PR
Niketan Pansare created SYSTEMML-1122:
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Summary: Explore integration of Python DSL with non-unfuncs in
Numpy (such as concatenate)
Key: SYSTEMML-1122
URL: https://issues.apache.org/jira/browse/SYSTEMML-1122
Niketan Pansare created SYSTEMML-1123:
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Summary: Refactor scikit-learn to make it scalable by using Python
DSL
Key: SYSTEMML-1123
URL: https://issues.apache.org/jira/browse/SYSTEMML-1123
Project:
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https://issues.apache.org/jira/browse/SYSTEMML-1123?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Niketan Pansare updated SYSTEMML-1123:
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Summary: Refactor/Fork scikit-learn to make it scalable by using Python DSL
(was:
Niketan Pansare created SYSTEMML-1124:
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Summary: Add LabelEncoder for mllearn wrappers when PySpark
DataFrame is passed
Key: SYSTEMML-1124
URL: https://issues.apache.org/jira/browse/SYSTEMML-1124
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Niketan Pansare updated SYSTEMML-1090:
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Description: In preparation for this task, label encoding has been removed
from
Niketan Pansare created SYSTEMML-1081:
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Summary: Incorrect dimensions after left indexing operation
Key: SYSTEMML-1081
URL: https://issues.apache.org/jira/browse/SYSTEMML-1081
Project: SystemML
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Niketan Pansare commented on SYSTEMML-1081:
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Commenting out "_dagRuleSet.add( new
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Niketan Pansare resolved SYSTEMML-1081.
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Resolution: Fixed
Fix Version/s: SystemML 1.0
Thanks Matthias for the fix.
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Niketan Pansare resolved SYSTEMML-1077.
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Resolution: Fixed
Fixed in the commit
Niketan Pansare created SYSTEMML-1037:
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Summary: Add custom kernel for sparse ternary aggregate instruction
Key: SYSTEMML-1037
URL: https://issues.apache.org/jira/browse/SYSTEMML-1037
Project:
Niketan Pansare created SYSTEMML-1038:
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Summary: Add support for aggregate unary operations on GPU
Key: SYSTEMML-1038
URL: https://issues.apache.org/jira/browse/SYSTEMML-1038
Project: SystemML
Niketan Pansare created SYSTEMML-1041:
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Summary: Implement custom kernel for reshape operation
Key: SYSTEMML-1041
URL: https://issues.apache.org/jira/browse/SYSTEMML-1041
Project: SystemML
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Niketan Pansare resolved SYSTEMML-1042.
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Resolution: Fixed
Fix Version/s: SystemML 0.11
Fixed in the commit
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Niketan Pansare updated SYSTEMML-1034:
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Description:
1. Extend BinaryOp to enable GPU for solve
2. Add
Niketan Pansare created SYSTEMML-1040:
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Summary: Implement custom kernel for append operation
Key: SYSTEMML-1040
URL: https://issues.apache.org/jira/browse/SYSTEMML-1040
Project: SystemML
Niketan Pansare created SYSTEMML-1033:
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Summary: Add LU and QR functionality to GPU backend
Key: SYSTEMML-1033
URL: https://issues.apache.org/jira/browse/SYSTEMML-1033
Project: SystemML
Niketan Pansare created SYSTEMML-1034:
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Summary: Implement solve builtin function using cublas kernels
Key: SYSTEMML-1034
URL: https://issues.apache.org/jira/browse/SYSTEMML-1034
Project: SystemML
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Niketan Pansare closed SYSTEMML-1038.
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Resolution: Duplicate
> Add support for aggregate unary operations on GPU
>
Niketan Pansare created SYSTEMML-1039:
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Summary: Add support for aggregate unary operations on GPU
Key: SYSTEMML-1039
URL: https://issues.apache.org/jira/browse/SYSTEMML-1039
Project: SystemML
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Niketan Pansare updated SYSTEMML-1140:
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Description:
We have identified two performance bugs that frequently occurs in deep
Niketan Pansare created SYSTEMML-1140:
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Summary: Sparse/Caching performance bugs related to deep learning
scripts
Key: SYSTEMML-1140
URL: https://issues.apache.org/jira/browse/SYSTEMML-1140
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Niketan Pansare commented on SYSTEMML-1139:
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Once we release 12.0 and upload python package
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Niketan Pansare commented on SYSTEMML-1169:
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To automate Python test, please set the flag
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Niketan Pansare closed SYSTEMML-1152.
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Resolution: Won't Fix
Fix Version/s: SystemML 1.0
Hi Nakul,
Since we anyways
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Niketan Pansare commented on SYSTEMML-1156:
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Thanks [~mboehm7] for looking into this in the
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Niketan Pansare commented on SYSTEMML-1142:
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Two points:
1. The commit
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Niketan Pansare resolved SYSTEMML-1442.
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Resolution: Fixed
Fix Version/s: SystemML 1.0
Fixed by commit
Niketan Pansare created SYSTEMML-1445:
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Summary: Add support for GPU axpy operation
Key: SYSTEMML-1445
URL: https://issues.apache.org/jira/browse/SYSTEMML-1445
Project: SystemML
Issue
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Niketan Pansare updated SYSTEMML-1445:
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Summary: Add support for matrix-vector GPU axpy operation (was: Add
support for GPU
Niketan Pansare created SYSTEMML-1431:
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Summary: Throw controlled error when one-dimensional numpy array
is passed to SystemML
Key: SYSTEMML-1431
URL: https://issues.apache.org/jira/browse/SYSTEMML-1431
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Niketan Pansare resolved SYSTEMML-1428.
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Resolution: Fixed
Assignee: Niketan Pansare (was: Mike Dusenberry)
Niketan Pansare created SYSTEMML-1442:
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Summary: Reduce the JVM memory required for transfering Numpy array
Key: SYSTEMML-1442
URL: https://issues.apache.org/jira/browse/SYSTEMML-1442
Project:
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Niketan Pansare resolved SYSTEMML-1431.
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Resolution: Fixed
Fix Version/s: SystemML 1.0
Resolved by the commit
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Niketan Pansare reassigned SYSTEMML-1431:
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Assignee: Niketan Pansare
> Throw controlled error when one-dimensional numpy
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Niketan Pansare resolved SYSTEMML-1370.
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Resolution: Fixed
Fix Version/s: SystemML 1.0
Fixed in the commit
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Niketan Pansare resolved SYSTEMML-1403.
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Resolution: Fixed
Fixed in the commit
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Niketan Pansare resolved SYSTEMML-1411.
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Resolution: Fixed
Assignee: Niketan Pansare
Fix Version/s: SystemML
Niketan Pansare created SYSTEMML-1411:
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Summary: Add bias_multiply operator
Key: SYSTEMML-1411
URL: https://issues.apache.org/jira/browse/SYSTEMML-1411
Project: SystemML
Issue Type:
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https://issues.apache.org/jira/browse/SYSTEMML-1396?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Niketan Pansare resolved SYSTEMML-1396.
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Resolution: Fixed
> Enable lazily freeing cuda allocated memory chunks
>
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Niketan Pansare commented on SYSTEMML-1474:
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Thanks Glenn, we definitely need to address the
Niketan Pansare created SYSTEMML-1481:
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Summary: Add Python helper function to convert LMDB to binaryblocks
Key: SYSTEMML-1481
URL: https://issues.apache.org/jira/browse/SYSTEMML-1481
Project:
Niketan Pansare created SYSTEMML-1485:
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Summary: Add LSTM layer in Caffe2DML
Key: SYSTEMML-1485
URL: https://issues.apache.org/jira/browse/SYSTEMML-1485
Project: SystemML
Issue Type:
Niketan Pansare created SYSTEMML-1486:
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Summary: Add Embed layer in nn library and Caffe2DML
Key: SYSTEMML-1486
URL: https://issues.apache.org/jira/browse/SYSTEMML-1486
Project: SystemML
Niketan Pansare created SYSTEMML-1504:
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Summary: Add perturbed gradient descent feature in Caffe2DML to
escape saddle points
Key: SYSTEMML-1504
URL: https://issues.apache.org/jira/browse/SYSTEMML-1504
Niketan Pansare created SYSTEMML-1491:
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Summary: Add different ReLU variants in nn library and Caffe2DML
Key: SYSTEMML-1491
URL: https://issues.apache.org/jira/browse/SYSTEMML-1491
Project:
Niketan Pansare created SYSTEMML-1492:
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Summary: Add Sigmoid layer in nn library and Caffe2DML
Key: SYSTEMML-1492
URL: https://issues.apache.org/jira/browse/SYSTEMML-1492
Project: SystemML
Niketan Pansare created SYSTEMML-1493:
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Summary: Add Tanh layer in nn library and Caffe2DML
Key: SYSTEMML-1493
URL: https://issues.apache.org/jira/browse/SYSTEMML-1493
Project: SystemML
Niketan Pansare created SYSTEMML-1501:
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Summary: Add support in Caffe2DML to display histogram in
tensorboard
Key: SYSTEMML-1501
URL: https://issues.apache.org/jira/browse/SYSTEMML-1501
Project:
Niketan Pansare created SYSTEMML-1503:
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Summary: Add parameter server support in Caffe2DML
Key: SYSTEMML-1503
URL: https://issues.apache.org/jira/browse/SYSTEMML-1503
Project: SystemML
Niketan Pansare created SYSTEMML-1482:
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Summary: Add Crop layer in nn library and Caffe2DML
Key: SYSTEMML-1482
URL: https://issues.apache.org/jira/browse/SYSTEMML-1482
Project: SystemML
Niketan Pansare created SYSTEMML-1483:
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Summary: Add Deconvolution layer in nn library and Caffe2DML
Key: SYSTEMML-1483
URL: https://issues.apache.org/jira/browse/SYSTEMML-1483
Project: SystemML
Niketan Pansare created SYSTEMML-1484:
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Summary: Add RNN layer in Caffe2DML
Key: SYSTEMML-1484
URL: https://issues.apache.org/jira/browse/SYSTEMML-1484
Project: SystemML
Issue Type:
Niketan Pansare created SYSTEMML-1495:
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Summary: Add Exp layer in nn library and Caffe2DML
Key: SYSTEMML-1495
URL: https://issues.apache.org/jira/browse/SYSTEMML-1495
Project: SystemML
Niketan Pansare created SYSTEMML-1494:
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Summary: Add Power layer to nn library and Caffe2DML
Key: SYSTEMML-1494
URL: https://issues.apache.org/jira/browse/SYSTEMML-1494
Project: SystemML
Niketan Pansare created SYSTEMML-1499:
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Summary: Add Utility layers in Caffe2DML
Key: SYSTEMML-1499
URL: https://issues.apache.org/jira/browse/SYSTEMML-1499
Project: SystemML
Issue Type:
Niketan Pansare created SYSTEMML-1488:
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Summary: Add Mean-Variance Normalization layer in nn library and
Caffe2DML
Key: SYSTEMML-1488
URL: https://issues.apache.org/jira/browse/SYSTEMML-1488
Niketan Pansare created SYSTEMML-1489:
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Summary: Add Bias layer in nn library and Caffe2DML
Key: SYSTEMML-1489
URL: https://issues.apache.org/jira/browse/SYSTEMML-1489
Project: SystemML
Niketan Pansare created SYSTEMML-1487:
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Summary: Add Local Response Normalization layer in nn library and
Caffe2DML
Key: SYSTEMML-1487
URL: https://issues.apache.org/jira/browse/SYSTEMML-1487
Niketan Pansare created SYSTEMML-1498:
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Summary: Add Threshold layer in nn library and Caffe2DML
Key: SYSTEMML-1498
URL: https://issues.apache.org/jira/browse/SYSTEMML-1498
Project: SystemML
Niketan Pansare created SYSTEMML-1500:
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Summary: Add missing loss layers to Caffe2DML
Key: SYSTEMML-1500
URL: https://issues.apache.org/jira/browse/SYSTEMML-1500
Project: SystemML
Issue
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Niketan Pansare reassigned SYSTEMML-1474:
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Assignee: Niketan Pansare
> Index out of bounds error in test_naive_bayes1 of
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Niketan Pansare commented on SYSTEMML-1474:
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Sure. I have created PR
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Niketan Pansare resolved SYSTEMML-1474.
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Resolution: Fixed
Fix Version/s: SystemML 0.14
Fixed by commit
Niketan Pansare created SYSTEMML-1552:
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Summary: Support GPU via Python APIs
Key: SYSTEMML-1552
URL: https://issues.apache.org/jira/browse/SYSTEMML-1552
Project: SystemML
Issue Type:
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https://issues.apache.org/jira/browse/SYSTEMML-1383?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Niketan Pansare updated SYSTEMML-1383:
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Description:
After performance testing, we can move the NN library from staging to
Niketan Pansare created SYSTEMML-1384:
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Summary: Revisit the weight and bias of fully connected layer
Key: SYSTEMML-1384
URL: https://issues.apache.org/jira/browse/SYSTEMML-1384
Project: SystemML
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Niketan Pansare updated SYSTEMML-1383:
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Description:
After performance testing, we can move the NN library from staging to
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Niketan Pansare updated SYSTEMML-1383:
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Description:
After performance testing, we can move the NN library from staging to
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Niketan Pansare updated SYSTEMML-1383:
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Description:
After performance testing, we can move the NN library from staging to
Niketan Pansare created SYSTEMML-1383:
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Summary: Performance testing of individual layer for common data
shapes
Key: SYSTEMML-1383
URL: https://issues.apache.org/jira/browse/SYSTEMML-1383
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Niketan Pansare closed SYSTEMML-1394.
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Resolution: Fixed
Assignee: Niketan Pansare
Fix Version/s: SystemML 1.0
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Niketan Pansare resolved SYSTEMML-1341.
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Resolution: Fixed
Closed by the commit
Niketan Pansare created SYSTEMML-1394:
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Summary: Add DML script to crop images in NCHW format
Key: SYSTEMML-1394
URL: https://issues.apache.org/jira/browse/SYSTEMML-1394
Project: SystemML
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Niketan Pansare commented on SYSTEMML-1373:
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Thanks, Nakul. Btw, I am OK with either format
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Niketan Pansare commented on SYSTEMML-703:
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[~deron] let's keep this open until we add a sanity
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Niketan Pansare resolved SYSTEMML-1373.
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Resolution: Fixed
Fix Version/s: SystemML 1.0
> Inconsistent printing in
Niketan Pansare created SYSTEMML-1373:
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Summary: Inconsistent printing in toString method for Infinity and
NaN
Key: SYSTEMML-1373
URL: https://issues.apache.org/jira/browse/SYSTEMML-1373
Project:
Niketan Pansare created SYSTEMML-1375:
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Summary: Add Python MLContext documentation explaining usage of
command-line arguments
Key: SYSTEMML-1375
URL: https://issues.apache.org/jira/browse/SYSTEMML-1375
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Niketan Pansare closed SYSTEMML-1116.
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Resolution: Fixed
> Make Python DSL NumPy-friendly
> --
>
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Niketan Pansare updated SYSTEMML-1116:
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Fix Version/s: SystemML 0.12
> Make Python DSL NumPy-friendly
>
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Niketan Pansare resolved SYSTEMML-931.
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Resolution: Fixed
Fix Version/s: SystemML 1.0
> Error while allocating
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Niketan Pansare commented on SYSTEMML-1471:
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[~deron] Thanks for your reply. Is MLContext
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Niketan Pansare commented on SYSTEMML-1471:
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I think if certain settings are common for
201 - 300 of 350 matches
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