Published September 9, 2017
| Version v0.8.0
Software
Open
rasbt/mlxtend: Version 0.8.0
Creators
- Sebastian Raschka1
- Reiichiro Nakano
- Will McGinnis2
- James Bourbeau3
- chkoar
- Pablo Fernandez4
- Alejandro Correa Bahnsen5
- Vostretsov Nikita
- wahutch
- mrkaiser
- kernc
- jlopezpena
- Michael Peters
- Marc Abramowitz6
- Konstantinos Paliouras7
- Joshua Görner
- Jelmer Borst
- Ilya8
- hsperr
- GILLES Armand9
- Francis T. O'Donovan10
- Eike Dehling11
- Batuhan Bardak12
- Anton Loss
- Anebi Agbo
- Ajinkya Kale
- Adam Erickson13
- 1. Michigan State University
- 2. Predikto Inc.
- 3. @WIPACrepo
- 4. FANSI Motorsport
- 5. Easy Solutions
- 6. @adobe-platform
- 7. @Workable
- 8. LPI ASC
- 9. millesime.ai
- 10. @betteroutcomes
- 11. Trifork
- 12. STM
- 13. Max Planck Institute for Biogeochemistry
Description
Downloads
New Features- Added a
mlxtend.evaluate.bootstrap
that implements the ordinary nonparametric bootstrap to bootstrap a single statistic (for example, the mean. median, R^2 of a regression fit, and so forth) #232 SequentialFeatureSelecor
'sk_features
now accepts a string argument "best" or "parsimonious" for more "automated" feature selection. For instance, if "best" is provided, the feature selector will return the feature subset with the best cross-validation performance. If "parsimonious" is provided as an argument, the smallest feature subset that is within one standard error of the cross-validation performance will be selected. #238
SequentialFeatureSelector
now usesnp.nanmean
over normal mean to support scorers that may returnnp.nan
#211 (via mrkaiser)- The
skip_if_stuck
parameter was removed fromSequentialFeatureSelector
in favor of a more efficient implementation comparing the conditional inclusion/exclusion results (in the floating versions) to the performances of previously sampled feature sets that were cached #237 ExhaustiveFeatureSelector
was modified to consume substantially less memory #195 (via Adam Erickson)
- Fixed a bug where the
SequentialFeatureSelector
selected a feature subset larger than then specified via thek_features
tuple max-value #213
Files
rasbt/mlxtend-v0.8.0.zip
Files
(11.9 MB)
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Additional details
Related works
- Is supplement to
- https://github.com/rasbt/mlxtend/tree/v0.8.0 (URL)