codecov-io
commented
4 years ago Codecov Report
Merging #50 into master will increase coverage by
<.01%. The diff coverage is94.44%.
@@ Coverage Diff @@
## master #50 +/- ##
==========================================
+ Coverage 99.04% 99.05% +<.01%
==========================================
Files 54 54
Lines 4416 4429 +13
Branches 488 489 +1
==========================================
+ Hits 4374 4387 +13
Misses 22 22
Partials 20 20| Impacted Files | Coverage Δ | |
|---|---|---|
| skhubness/utils/platform.py | 100% <ø> (ø) |
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| skhubness/neighbors/classification.py | 100% <ø> (ø) |
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| skhubness/neighbors/unsupervised.py | 100% <ø> (ø) |
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| skhubness/neighbors/regression.py | 100% <ø> (ø) |
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| skhubness/neighbors/lof.py | 100% <ø> (ø) |
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| skhubness/neighbors/nng.py | 100% <100%> (ø) |
|
| skhubness/neighbors/__init__.py | 100% <100%> (ø) |
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| skhubness/neighbors/tests/test_neighbors.py | 99.68% <100%> (ø) |
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| skhubness/neighbors/tests/test_onng.py | 100% <100%> (ø) |
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| skhubness/neighbors/base.py | 95.34% <75%> (ø) |
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Δ = absolute <relative> (impact),ø = not affected,? = missing dataPowered by Codecov. Last update 8d7ba47...1fc8d3e. Read the comment docs.
lgtm-com[bot]
Since NGT 1.8 ONNG optimization is available via the Python API. We can, therefore, now enable ONNG here.
The wrapper is renamed to
NNGin order to make clear that first, the standard ANNG is created in any case. Only when the parameteroptimize=Trueis set, the ANNG is optimized to an ONNG.