scikit-mine / scikit-mine

scikit-mine : pattern mining in Python
https://scikit-mine.github.io/scikit-mine/
BSD 3-Clause "New" or "Revised" License
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Slim transformer #116

Closed remiadon closed 3 years ago

remiadon commented 3 years ago

sklearn compatible Transformer

to be compared with TfIdf ??

codecov-commenter commented 3 years ago

Codecov Report

Merging #116 (8ae2c6f) into master (7697816) will decrease coverage by 4.39%. The diff coverage is 92.63%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #116      +/-   ##
==========================================
- Coverage   97.65%   93.25%   -4.40%     
==========================================
  Files          13       23      +10     
  Lines         383     1053     +670     
  Branches       65      196     +131     
==========================================
+ Hits          374      982     +608     
- Misses          5       47      +42     
- Partials        4       24      +20     
Flag Coverage Δ
unittests 93.16% <92.53%> (-4.49%) :arrow_down:

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Impacted Files Coverage Δ
skmine/datasets/_base.py 100.00% <ø> (ø)
skmine/itemsets/__init__.py 100.00% <ø> (ø)
skmine/datasets/utils.py 63.63% <20.00%> (-36.37%) :arrow_down:
skmine/datasets/periodic.py 37.50% <37.50%> (ø)
skmine/utils.py 72.80% <72.80%> (ø)
skmine/base.py 88.00% <77.77%> (-12.00%) :arrow_down:
skmine/callbacks.py 93.33% <93.33%> (ø)
skmine/periodic/cycles.py 93.69% <93.69%> (ø)
skmine/bitmaps.py 94.44% <94.44%> (ø)
skmine/datasets/_samples_generator.py 97.61% <96.77%> (-2.39%) :arrow_down:
... and 23 more

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remiadon commented 3 years ago

last asv bench, running

asv continuous master HEAD -b slim

image