Closed VarIr closed 3 years ago
Merging #32 (21cd493) into master (d62d350) will decrease coverage by
0.19%
. The diff coverage is100.00%
.
@@ Coverage Diff @@
## master #32 +/- ##
==========================================
- Coverage 96.92% 96.72% -0.20%
==========================================
Files 37 36 -1
Lines 2112 2045 -67
==========================================
- Hits 2047 1978 -69
- Misses 65 67 +2
Impacted Files | Coverage Δ | |
---|---|---|
deepnog/client/client.py | 96.93% <ø> (-1.23%) |
:arrow_down: |
deepnog/data/dataset.py | 97.81% <ø> (ø) |
|
deepnog/models/deepnog.py | 96.92% <ø> (ø) |
|
deepnog/tests/tests/test_utils.py | 100.00% <ø> (ø) |
|
deepnog/utils/io_utils.py | 100.00% <ø> (ø) |
|
deepnog/utils/network.py | 91.22% <ø> (-3.51%) |
:arrow_down: |
deepnog/utils/tests/test_imports.py | 100.00% <ø> (ø) |
|
deepnog/client/tests/test_cli.py | 99.37% <100.00%> (ø) |
|
deepnog/learning/tests/test_inference.py | 100.00% <100.00%> (ø) |
|
deepnog/models/__init__.py | 100.00% <100.00%> (ø) |
|
... and 5 more |
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Initially, the working title of the main deep network architecture used in
deepnog
was deepencoding. For the paper, we switched to calling this DeepNOG, similar to the program itself. This PR removes deepencoding altogether in order to avoid confusion about naming.