Closed iamDecode closed 2 years ago
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Merging #37 (24de56d) into master (186c065) will decrease coverage by
0.39%
. The diff coverage is92.00%
.
@@ Coverage Diff @@
## master #37 +/- ##
===========================================
- Coverage 100.00% 99.60% -0.40%
===========================================
Files 16 16
Lines 967 1004 +37
===========================================
+ Hits 967 1000 +33
- Misses 0 4 +4
Impacted Files | Coverage Δ | |
---|---|---|
sklearn_pmml_model/naive_bayes/implementations.py | 95.65% <50.00%> (-4.35%) |
:arrow_down: |
sklearn_pmml_model/base.py | 98.87% <66.66%> (-1.13%) |
:arrow_down: |
sklearn_pmml_model/ensemble/forest.py | 100.00% <100.00%> (ø) |
|
sklearn_pmml_model/ensemble/gb.py | 100.00% <100.00%> (ø) |
|
sklearn_pmml_model/linear_model/implementations.py | 100.00% <100.00%> (ø) |
|
sklearn_pmml_model/svm/_base.py | 100.00% <100.00%> (ø) |
|
sklearn_pmml_model/svm/_classes.py | 100.00% <100.00%> (ø) |
|
sklearn_pmml_model/tree/tree.py | 100.00% <100.00%> (ø) |
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This pull request fixes 2 alerts when merging 24de56d69d378bb386307880b487dbd2f7916598 into 186c0655b6b42b787d58229118b187cc6b156b38 - view on LGTM.com
fixed alerts:
Since
scikit-learn
officially released 1.0 the API has changed a bit. Mostly renaming, but sufficient for breakingsklearn-pmml-model
. This PR resolves those issues while staying compatible with previous (recent) 0.x versions