Small fixes #466
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Small fixes #466
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Codecov Report
@@ Coverage Diff @@
## feature_learn #466 +/- ##
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- Coverage 88.21% 88.18% -0.04%
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Files 113 113
Lines 7020 7019 -1
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- Hits 6193 6190 -3
- Misses 827 829 +2
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yannikschaelte
added a commit
that referenced
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Jul 30, 2021
* init * limit look-ahead sample number in delayed mode * update releasenotes -> 0.10.15 * refactor: weight normalization applied to all particles; pass sample to distance function * fix typo in changelog * fix tmp changes * fixup * pycharm annoys me * fixit * fix population test * fix zero division error * fix docs * whatever * remove file * init * tmp * tmp * refactor adaptive distances: sumstat + vectorize * add working version of sumstat and predictor modules * whatever * add nbs * handle trivial statistics better * normalize info weighting correctly * refactor anew info weighting + normalization + gp and layer handles * fix flake8 * add lasso sumstat * set indices to keep correctly * add option to not normalize per parameter in info weight * cont * implement late model use * remove slad * tidy up * update nbs; fix various things * add predictor test * add model selection test * additional tests * update readme; add raise tests * add sumstat test * add test for dict2arr * test info weighting * test sample construction * test fit index construction * test inf norm; test scales errors * fixup * implement subsetting * fix imports * test augmentation * add missing base class dependency * move worker signup up * add logger * always normalize linreg inputs; postpone default fit indices * do not clear up redis server * fix typo * reset default scale function from rmsd to std for stability in most cases * cont * cont * update * add tests * whatever * Allow fitting at simulation-based events (#462) * Allow fitting at simulation-based events * update nb * cont * fix test * fix test * Add distance weight plot (#463) * fix wrong deviation threshold 0.5 -> 0.33 * Small fixes (#466) * Add distance weight plot * add colors * enable passing keys * integer coordinates * implement option to use only accepted particles for scale calculation in adaptive distances (#467) * implement only accepted particles for scale calculation * add test * fix indent * add max mlp method * log fitting time * add train-test-split model selection method * better info weight calculation * add pre_before_fit and from_events * fix * change default to weights * normalize in subsetter * add n_sample option to data plot * fix stuff * allow kwargs in distance weights plot * add pcmad convenience * apply la normalization to all particles * fix defaults * final edits Co-authored-by: Yannik Schälte <[email protected]> Co-authored-by: Yannik Schälte <[email protected]>
EmadAlamoudi
pushed a commit
that referenced
this pull request
Jun 30, 2022
* init * limit look-ahead sample number in delayed mode * update releasenotes -> 0.10.15 * refactor: weight normalization applied to all particles; pass sample to distance function * fix typo in changelog * fix tmp changes * fixup * pycharm annoys me * fixit * fix population test * fix zero division error * fix docs * whatever * remove file * init * tmp * tmp * refactor adaptive distances: sumstat + vectorize * add working version of sumstat and predictor modules * whatever * add nbs * handle trivial statistics better * normalize info weighting correctly * refactor anew info weighting + normalization + gp and layer handles * fix flake8 * add lasso sumstat * set indices to keep correctly * add option to not normalize per parameter in info weight * cont * implement late model use * remove slad * tidy up * update nbs; fix various things * add predictor test * add model selection test * additional tests * update readme; add raise tests * add sumstat test * add test for dict2arr * test info weighting * test sample construction * test fit index construction * test inf norm; test scales errors * fixup * implement subsetting * fix imports * test augmentation * add missing base class dependency * move worker signup up * add logger * always normalize linreg inputs; postpone default fit indices * do not clear up redis server * fix typo * reset default scale function from rmsd to std for stability in most cases * cont * cont * update * add tests * whatever * Allow fitting at simulation-based events (#462) * Allow fitting at simulation-based events * update nb * cont * fix test * fix test * Add distance weight plot (#463) * fix wrong deviation threshold 0.5 -> 0.33 * Small fixes (#466) * Add distance weight plot * add colors * enable passing keys * integer coordinates * implement option to use only accepted particles for scale calculation in adaptive distances (#467) * implement only accepted particles for scale calculation * add test * fix indent * add max mlp method * log fitting time * add train-test-split model selection method * better info weight calculation * add pre_before_fit and from_events * fix * change default to weights * normalize in subsetter * add n_sample option to data plot * fix stuff * allow kwargs in distance weights plot * add pcmad convenience * apply la normalization to all particles * fix defaults * final edits Co-authored-by: Yannik Schälte <[email protected]> Co-authored-by: Yannik Schälte <[email protected]>
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