larroy commented on a change in pull request #9761: Don't use FIRST_CUDA on
generators which don't support toolsets
URL: https://github.com/apache/incubator-mxnet/pull/9761#discussion_r167871781
##
File path: CMakeLists.txt
##
@@ -1,6 +1,8 @@
juliusshufan closed pull request #9305: Fixing two symbol files for CNN
URL: https://github.com/apache/incubator-mxnet/pull/9305
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:
As this is a
juliusshufan opened a new pull request #9783: Fixing a symbol file for
image-classification example
URL: https://github.com/apache/incubator-mxnet/pull/9783
## Description ##
This PR is trying to fix a runtime error when running benchmark_score.py on
CPU machine.
The existing
larroy commented on a change in pull request #9761: Don't use FIRST_CUDA on
generators which don't support toolsets
URL: https://github.com/apache/incubator-mxnet/pull/9761#discussion_r16787
##
File path: CMakeLists.txt
##
@@ -1,6 +1,8 @@
larroy opened a new pull request #9784: Fix for the case where there are no
detections
URL: https://github.com/apache/incubator-mxnet/pull/9784
Use cv2.cvtColor instead of np to convert from BGR 2 RGB
Fix context in detector
## Description ##
(Brief description on what this PR
larroy commented on issue #9784: Fix for the case where there are no detections
URL: https://github.com/apache/incubator-mxnet/pull/9784#issuecomment-365271880
@zhreshold
This is an automated message from the Apache Git
szha commented on issue #8606: How to quick share weight like the tensorflow
using reused_params !!!
URL:
https://github.com/apache/incubator-mxnet/issues/8606#issuecomment-365252214
@apache/mxnet-committers: This issue has been inactive for the past 90 days.
It has no label and needs
dabraude commented on issue #9573: Fix bug with symbol loading, and added
function for loading NDArrays from memory.
URL: https://github.com/apache/incubator-mxnet/pull/9573#issuecomment-365258896
Was at a conference, don't know where that build error was from but it
seemed to fix itself
larroy commented on a change in pull request #9761: Don't use FIRST_CUDA on
generators which don't support toolsets
URL: https://github.com/apache/incubator-mxnet/pull/9761#discussion_r167869103
##
File path: CMakeLists.txt
##
@@ -1,6 +1,8 @@
juliusshufan commented on issue #9305: Fixing two symbol files for CNN
URL: https://github.com/apache/incubator-mxnet/pull/9305#issuecomment-365261381
Close this PR, and replace by
https://github.com/apache/incubator-mxnet/pull/9783
marcoabreu commented on issue #9672: CMake CUDA fixes + NCCL
URL: https://github.com/apache/incubator-mxnet/pull/9672#issuecomment-365202084
Was this PR approved by anybody or was this a self merge?
This is an automated
rimusolem commented on issue #9780: ps-lite build problems
URL:
https://github.com/apache/incubator-mxnet/issues/9780#issuecomment-365183471
However, now I got a new error.
```
libtool: link: g++ -Wall -Wwrite-strings -Woverloaded-virtual
-Wno-sign-compare -fPIC -Wl,-rpath
marcoabreu commented on issue #9771: Modify NDArrayIter constructor to receive
tuple (i.e. dict in Python)?
URL: https://github.com/apache/incubator-mxnet/pull/9771#issuecomment-365223393
Your change has the following issues, not providing backwards compatibility:
```
Type change:
marcoabreu commented on issue #9771: Modify NDArrayIter constructor to receive
tuple (i.e. dict in Python)?
URL: https://github.com/apache/incubator-mxnet/pull/9771#issuecomment-365201632
Since we are using semantic versioning, this would require a major version
update. Thus, this
parallelgithub commented on issue #9771: Modify NDArrayIter constructor to
receive tuple (i.e. dict in Python)?
URL: https://github.com/apache/incubator-mxnet/pull/9771#issuecomment-365221525
Thank you for replying. Would you please explain more about backwards
compatibility?
Since
solin319 opened a new issue #9782: problem in local kvstore
URL: https://github.com/apache/incubator-mxnet/issues/9782
In MXNet V1.0 and V1.1-rc0, when training with kvstore='local' or
kvstore='device' .
The computation of update **can not overlap** the backward computation.
rimusolem commented on issue #9780: ps-lite build problems
URL:
https://github.com/apache/incubator-mxnet/issues/9780#issuecomment-365182406
Setting environment variables CFLAGS, CXXFLASGS and CPPFLAGS as "-O3" solves
the problem.
rimusolem commented on issue #9780: ps-lite build problems
URL:
https://github.com/apache/incubator-mxnet/issues/9780#issuecomment-365183471
However, now I got a new error.
```
libtool: link: g++ -Wall -Wwrite-strings -Woverloaded-virtual
-Wno-sign-compare -fPIC -Wl,-rpath
larroy commented on a change in pull request #9784: Fix for the case where
there are no detections
URL: https://github.com/apache/incubator-mxnet/pull/9784#discussion_r167911873
##
File path: example/ssd/detect/detector.py
##
@@ -43,6 +43,7 @@ class Detector(object):
szha commented on a change in pull request #9777: [MX-9588] Add micro averaging
strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r167763507
##
File path: python/mxnet/metric.py
##
@@ -503,21 +578,27 @@ class F1(EvalMetric):
cjolivier01 commented on a change in pull request #9771: Modify NDArrayIter
constructor to receive tuple (i.e. dict in Python)?
URL: https://github.com/apache/incubator-mxnet/pull/9771#discussion_r167916969
##
File path:
cjolivier01 commented on a change in pull request #9784: Fix for the case where
there are no detections
URL: https://github.com/apache/incubator-mxnet/pull/9784#discussion_r167921225
##
File path: example/ssd/detect/detector.py
##
@@ -136,31 +133,52 @@ class names
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cjolivier01 pushed a commit to branch master
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The following commit(s) were added to refs/heads/master by this push:
new 81dc02e add missed optimizer
cjolivier01 closed pull request #9779: add missed optimizer docs
URL: https://github.com/apache/incubator-mxnet/pull/9779
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pishen commented on a change in pull request #9771: Modify NDArrayIter
constructor to receive tuple (i.e. dict in Python)?
URL: https://github.com/apache/incubator-mxnet/pull/9771#discussion_r167922565
##
File path:
cjolivier01 commented on a change in pull request #9784: Fix for the case where
there are no detections
URL: https://github.com/apache/incubator-mxnet/pull/9784#discussion_r167913803
##
File path: example/ssd/detect/detector.py
##
@@ -43,6 +43,7 @@ class Detector(object):
larroy commented on a change in pull request #9784: Fix for the case where
there are no detections
URL: https://github.com/apache/incubator-mxnet/pull/9784#discussion_r167915405
##
File path: example/ssd/detect/detector.py
##
@@ -43,6 +43,7 @@ class Detector(object):
larroy commented on a change in pull request #9784: Fix for the case where
there are no detections
URL: https://github.com/apache/incubator-mxnet/pull/9784#discussion_r167915405
##
File path: example/ssd/detect/detector.py
##
@@ -43,6 +43,7 @@ class Detector(object):
cjolivier01 opened a new pull request #9785: remove error output
URL: https://github.com/apache/incubator-mxnet/pull/9785
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
- [ ] Passed code style checking (`make lint`)
- [ ]
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cjolivier01 pushed a commit to branch master
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The following commit(s) were added to refs/heads/master by this push:
new e64b7b8 Update loss.md (#9778)
cjolivier01 closed pull request #9778: Update loss.md
URL: https://github.com/apache/incubator-mxnet/pull/9778
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cjolivier01 commented on a change in pull request #9784: Fix for the case where
there are no detections
URL: https://github.com/apache/incubator-mxnet/pull/9784#discussion_r167909140
##
File path: example/ssd/detect/detector.py
##
@@ -43,6 +43,7 @@ class Detector(object):
larroy commented on a change in pull request #9784: Fix for the case where
there are no detections
URL: https://github.com/apache/incubator-mxnet/pull/9784#discussion_r167911799
##
File path: example/ssd/detect/detector.py
##
@@ -43,6 +43,7 @@ class Detector(object):
larroy commented on a change in pull request #9784: Fix for the case where
there are no detections
URL: https://github.com/apache/incubator-mxnet/pull/9784#discussion_r167911873
##
File path: example/ssd/detect/detector.py
##
@@ -43,6 +43,7 @@ class Detector(object):
cjolivier01 commented on issue #9761: Don't use FIRST_CUDA on generators which
don't support toolsets
URL: https://github.com/apache/incubator-mxnet/pull/9761#issuecomment-365294184
simply building isn?t what was broken ? cmake knowing how to build cuda
files natively was broken by your
cjolivier01 commented on a change in pull request #9784: Fix for the case where
there are no detections
URL: https://github.com/apache/incubator-mxnet/pull/9784#discussion_r167920569
##
File path: example/ssd/detect/detector.py
##
@@ -43,6 +43,7 @@ class Detector(object):
cjolivier01 commented on a change in pull request #8972: Profiling
enhancements, python API, vtune and chrome tracing objects, etc.
URL: https://github.com/apache/incubator-mxnet/pull/8972#discussion_r167925647
##
File path: python/mxnet/profiler.py
##
@@ -54,5 +60,280 @@
sethah commented on a change in pull request #9777: [MX-9588] Add micro
averaging strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r167943292
##
File path: python/mxnet/metric.py
##
@@ -475,8 +475,84 @@ def update(self, labels,
cjolivier01 commented on issue #8972: Profiling enhancements, python API, vtune
and chrome tracing objects, etc.
URL: https://github.com/apache/incubator-mxnet/pull/8972#issuecomment-360906975
CI broken can't build
This is
pishen commented on a change in pull request #9771: Modify NDArrayIter
constructor to receive tuple (i.e. dict in Python)?
URL: https://github.com/apache/incubator-mxnet/pull/9771#discussion_r167953138
##
File path:
cjolivier01 closed pull request #9785: remove superfluous cmake error output
URL: https://github.com/apache/incubator-mxnet/pull/9785
This is a PR merged from a forked repository.
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As this is a
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cjolivier01 pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/master by this push:
new 9b7058d remove error output
szha commented on a change in pull request #9777: [MX-9588] Add micro averaging
strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r167946771
##
File path: python/mxnet/metric.py
##
@@ -475,8 +475,84 @@ def update(self, labels,
anirudh2290 commented on issue #9766: DeepLearning on Imagenet with mxnet
issues translating .lst to .rec files
URL:
https://github.com/apache/incubator-mxnet/issues/9766#issuecomment-365358116
Can you please also provide the script that you ran to reproduce the issue ?
I see that you
cjolivier01 opened a new pull request #9786: Add C++ modules to CODEOWNERS
URL: https://github.com/apache/incubator-mxnet/pull/9786
## Description ##
(Brief description on what this PR is about)
## Checklist ##
### Essentials ###
- [ ] Passed code style checking (`make
cjolivier01 commented on issue #9786: Add C++ modules to CODEOWNERS
URL: https://github.com/apache/incubator-mxnet/pull/9786#issuecomment-365323929
Added myself to everything but would be great if other ppl can add
themselves so I can take my name off of some and not get spammed so much :)
sxjscience commented on a change in pull request #9777: [MX-9588] Add micro
averaging strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r167942814
##
File path: python/mxnet/metric.py
##
@@ -475,8 +475,84 @@ def update(self,
zhreshold commented on a change in pull request #9784: Fix for the case where
there are no detections
URL: https://github.com/apache/incubator-mxnet/pull/9784#discussion_r167951600
##
File path: example/ssd/detect/detector.py
##
@@ -43,6 +43,7 @@ class Detector(object):
anirudh2290 commented on issue #9764: Large batch size does not improve predict
speed
URL:
https://github.com/apache/incubator-mxnet/issues/9764#issuecomment-365359799
Can you provide some more information: Do you have a minimum reproducible
example ? Do you have any benchmark numbers ?
cjolivier01 commented on a change in pull request #8972: Profiling
enhancements, python API, vtune and chrome tracing objects, etc.
URL: https://github.com/apache/incubator-mxnet/pull/8972#discussion_r167926714
##
File path: python/mxnet/profiler.py
##
@@ -54,5 +60,280 @@
sxjscience commented on a change in pull request #9777: [MX-9588] Add micro
averaging strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r167944698
##
File path: tests/python/unittest/test_metric.py
##
@@ -56,18 +55,51 @@ def
anirudh2290 commented on issue #9772: ndarray indexing issues
URL:
https://github.com/apache/incubator-mxnet/issues/9772#issuecomment-365348247
Issue is that isinstance is not working as expected by the code and returns
false in python3. Workaround is to force the type of i to be int
anirudh2290 commented on issue #9763: Too many header files need to be included
when using C++ api
URL:
https://github.com/apache/incubator-mxnet/issues/9763#issuecomment-365349065
@marcoabreu should we have a different tag for CPP_PACKAGE? I have seen a
bunch of issues for the
zhreshold commented on a change in pull request #9784: Fix for the case where
there are no detections
URL: https://github.com/apache/incubator-mxnet/pull/9784#discussion_r167951698
##
File path: example/ssd/detect/detector.py
##
@@ -136,31 +133,52 @@ class names
zhreshold commented on a change in pull request #9784: Fix for the case where
there are no detections
URL: https://github.com/apache/incubator-mxnet/pull/9784#discussion_r167951825
##
File path: example/ssd/detect/detector.py
##
@@ -136,31 +133,52 @@ class names
cjolivier01 commented on a change in pull request #9771: Modify NDArrayIter
constructor to receive tuple (i.e. dict in Python)?
URL: https://github.com/apache/incubator-mxnet/pull/9771#discussion_r167938189
##
File path:
sxjscience commented on issue #9777: [MX-9588] Add micro averaging strategy for
F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#issuecomment-365348395
I think the current way is fine. All we need to do is to provide a mx.metric
version of sklearn.metrics.f1_score.
cjolivier01 commented on issue #8972: Profiling enhancements, python API, vtune
and chrome tracing objects, etc.
URL: https://github.com/apache/incubator-mxnet/pull/8972#issuecomment-360906975
CI broken can't build
This is
This is an automated email from the ASF dual-hosted git repository.
cjolivier01 pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/master by this push:
new 8a7b18f Add C++ modules to
sxjscience commented on a change in pull request #9688: Adapt operators from
PyTorch, will keep adding
URL: https://github.com/apache/incubator-mxnet/pull/9688#discussion_r167952142
##
File path: src/operator/bilinear_upsample.cc
##
@@ -0,0 +1,185 @@
+/*
+ * Licensed to
cjolivier01 closed pull request #9786: Add C++ modules to CODEOWNERS
URL: https://github.com/apache/incubator-mxnet/pull/9786
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As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:
As this is a foreign
rahul003 commented on issue #9782: problem in local kvstore
URL:
https://github.com/apache/incubator-mxnet/issues/9782#issuecomment-365363075
Do you have some profiling output regarding this? What kind of network are
you using?
piiswrong commented on a change in pull request #9777: [MX-9588] Add micro
averaging strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r167971498
##
File path: python/mxnet/metric.py
##
@@ -475,8 +475,84 @@ def update(self, labels,
piiswrong commented on a change in pull request #9777: [MX-9588] Add micro
averaging strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r167971594
##
File path: python/mxnet/metric.py
##
@@ -475,8 +475,84 @@ def update(self, labels,
piiswrong commented on a change in pull request #9738: Add Support for int64
URL: https://github.com/apache/incubator-mxnet/pull/9738#discussion_r167975658
##
File path: src/operator/mxnet_op.h
##
@@ -204,6 +204,15 @@ inline int get_num_threads(const int N) {
}
piiswrong commented on a change in pull request #9738: Add Support for int64
URL: https://github.com/apache/incubator-mxnet/pull/9738#discussion_r167975658
##
File path: src/operator/mxnet_op.h
##
@@ -204,6 +204,15 @@ inline int get_num_threads(const int N) {
}
anirudh2290 commented on issue #9750: Any ideas how to implement Z-Buffer
algorithm?
URL:
https://github.com/apache/incubator-mxnet/issues/9750#issuecomment-365364303
This seems more like Q/discussion topic. Please ask on discuss.mxnet.io
rahul003 commented on issue #8373: distribute training in fp16
URL: https://github.com/apache/incubator-mxnet/pull/8373#issuecomment-365386805
@solin319 Which machines did you run the above numbers on? Let us try to
come up with an easier interface for this so we can use this on the latest
szha commented on a change in pull request #9777: [MX-9588] Add micro averaging
strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r167986170
##
File path: python/mxnet/metric.py
##
@@ -475,8 +475,84 @@ def update(self, labels,
sxjscience commented on issue #9777: [MX-9588] Add micro averaging strategy for
F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#issuecomment-365397351
Also, one thing to note is that when the output has only one-label, the
micro F1 is equivalent to accuracy
aaronmarkham opened a new pull request #9616: Removing a broken tutorial from
the nightly tests
URL: https://github.com/apache/incubator-mxnet/pull/9616
## Description ##
The predict image tutorial is broken:
https://github.com/apache/incubator-mxnet/issues/9532
It is causing the
sxjscience commented on issue #9777: [MX-9588] Add micro averaging strategy for
F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#issuecomment-365397351
Also, one thing to note is that when the output has only one-label, the
micro F1 is equivalent to accuracy
piiswrong closed pull request #9783: Fixing a symbol file for
image-classification example
URL: https://github.com/apache/incubator-mxnet/pull/9783
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jxie pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/master by this push:
new f57073e Using the "global_pool" option
sxjscience commented on a change in pull request #9777: [MX-9588] Add micro
averaging strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r167992849
##
File path: python/mxnet/metric.py
##
@@ -475,8 +475,84 @@ def update(self,
piiswrong commented on issue #7938: instance norm and reflection padding
URL: https://github.com/apache/incubator-mxnet/pull/7938#issuecomment-365378948
@zhanghang1989 @szha
The instance norm operator needs an axis argument to be consistent with
batchnorm
reflectionpad2d's
sethah commented on a change in pull request #9777: [MX-9588] Add micro
averaging strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r167989350
##
File path: python/mxnet/metric.py
##
@@ -475,8 +475,84 @@ def update(self, labels,
sethah commented on a change in pull request #9777: [MX-9588] Add micro
averaging strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r167989462
##
File path: python/mxnet/metric.py
##
@@ -475,8 +475,84 @@ def update(self, labels,
KellenSunderland opened a new pull request #9788: Some small typo fixes.
URL: https://github.com/apache/incubator-mxnet/pull/9788
Some small typo fixes.
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anirudh2290 commented on issue #9750: Any ideas how to implement Z-Buffer
algorithm?
URL:
https://github.com/apache/incubator-mxnet/issues/9750#issuecomment-365364303
This seems more like Q/discussion topic. Please ask on discuss.mxnet.io.
piiswrong closed issue #9380: nd.stack causes abort for differently sized arrays
URL: https://github.com/apache/incubator-mxnet/issues/9380
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piiswrong closed issue #7335: Exception in threads kills entire process
URL: https://github.com/apache/incubator-mxnet/issues/7335
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piiswrong closed issue #9131: random_uniform causes VM to crash
URL: https://github.com/apache/incubator-mxnet/issues/9131
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piiswrong closed issue #9567: nd.argmax cause "Kernel Died" error in Jupyter
Notebook
URL: https://github.com/apache/incubator-mxnet/issues/9567
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piiswrong closed pull request #9681: Better Exception Handling for Operators
URL: https://github.com/apache/incubator-mxnet/pull/9681
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jxie pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/master by this push:
new 7b24137 Better Exception Handling for
piiswrong closed issue #8835: Python crashes (core-dump) instead of a graceful
error message when GPU context is used on a CPU-only instance (EC2 x1.32xlarge)
URL: https://github.com/apache/incubator-mxnet/issues/8835
This
Bestehorn commented on issue #2860: NDArray header in SAVE and LOAD function:
URL:
https://github.com/apache/incubator-mxnet/issues/2860#issuecomment-365384590
I have seen this error when I saved a model on a Linux machine and then
loaded the model in Windows (or vice versa).
rf987 opened a new issue #9787: net.collect_params() optims Dropout layers
URL: https://github.com/apache/incubator-mxnet/issues/9787
Why does net.collect_params() not make mention of Dropout layers ?
This is an automated
sxjscience commented on a change in pull request #9777: [MX-9588] Add micro
averaging strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r167993481
##
File path: python/mxnet/metric.py
##
@@ -475,8 +475,84 @@ def update(self,
sxjscience commented on issue #9777: [MX-9588] Add micro averaging strategy for
F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#issuecomment-365397351
Also, one thing to note is that when the output has only one-label, the
micro F1 is equivalent to accuracy
sethah commented on a change in pull request #9777: [MX-9588] Add micro
averaging strategy for F1 metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#discussion_r167998887
##
File path: python/mxnet/metric.py
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@@ -475,8 +475,84 @@ def update(self, labels,
anirudh2290 commented on issue #9772: ndarray indexing issues
URL:
https://github.com/apache/incubator-mxnet/issues/9772#issuecomment-365348247
Issue is that isinstance is not working as expected by the code and returns
false in python3. Workaround is to force the type of i to be int
szha commented on issue #9787: net.collect_params() omits Dropout layers
URL:
https://github.com/apache/incubator-mxnet/issues/9787#issuecomment-365413675
That's because Dropout layer doesn't have a parameter right now.
rf987 commented on issue #9787: net.collect_params() omits Dropout layers
URL:
https://github.com/apache/incubator-mxnet/issues/9787#issuecomment-365416037
When I open old models, I use the string output of net.collect_params() to
remind me of what the network architecture was.
sxjscience commented on issue #9787: net.collect_params() omits Dropout layers
URL:
https://github.com/apache/incubator-mxnet/issues/9787#issuecomment-365417024
@rf987 You can directly use `print(net)` or `logging.info(str(net))`
szha commented on issue #9777: [MX-9588] Add micro averaging strategy for F1
metric
URL: https://github.com/apache/incubator-mxnet/pull/9777#issuecomment-365425756
@sxjscience let's track the multi-label case in #9589
This
sxjscience commented on issue #9586: mx.metric F1 is using numpy logic
URL:
https://github.com/apache/incubator-mxnet/issues/9586#issuecomment-365427676
Bring discussion to the correct place. I've implemented an ndarray version
of F1 score when doing the experiments and this is my code
marcoabreu commented on issue #9763: Too many header files need to be included
when using C++ api
URL:
https://github.com/apache/incubator-mxnet/issues/9763#issuecomment-365428085
Good idea, please mention me in the other ones so I can label them
accordingly
sxjscience commented on issue #9586: mx.metric F1 is using numpy logic
URL:
https://github.com/apache/incubator-mxnet/issues/9586#issuecomment-365427676
Bring discussion to the correct place. I've implemented an ndarray version
of F1 score when doing the experiments and I've included my
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