codecov-io
commented
4 years ago Codecov Report
Merging #10 into master will decrease coverage by
0.22%. The diff coverage is98.89%.
@@ Coverage Diff @@
## master #10 +/- ##
==========================================
- Coverage 99.01% 98.79% -0.23%
==========================================
Files 6 15 +9
Lines 405 1241 +836
==========================================
+ Hits 401 1226 +825
- Misses 4 15 +11 | Flag | Coverage Δ | |
|---|---|---|
| #unittests | 98.79% <98.89%> (-0.23%) |
:arrow_down: |
| Impacted Files | Coverage Δ | |
|---|---|---|
| setup.py | 0.00% <ø> (ø) |
|
| src/mldatasets/types.py | 100.00% <ø> (ø) |
|
| src/mldatasets/abstract.py | 90.00% <81.81%> (ø) |
|
| src/mldatasets/examples.py | 95.45% <95.45%> (ø) |
|
| src/mldatasets/dataset.py | 98.66% <97.98%> (ø) |
|
| src/mldatasets/compose.py | 100.00% <100.00%> (ø) |
|
| src/mldatasets/function_dataset.py | 100.00% <100.00%> (ø) |
|
| src/mldatasets/loaders.py | 96.10% <100.00%> (ø) |
|
| tests/mldatasets/test_FunctionDataset.py | 98.11% <100.00%> (ø) |
|
| tests/mldatasets/test_compose.py | 100.00% <100.00%> (ø) |
|
| ... and 16 more |
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We now have a fully-fledged example for domain adaptation working, including complicated stuff such as: Cartesian product dataset composition, filter dependent sampling/splitting, and automatic conversion to tensorflow.data.Dataset
See the commit log for more details.