verstack
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Reference or citation to be added for paper
Hi Authors/developers,
I used this wonderful package for my research. Do you have any citations/references for the package that I can add to my paper?
Thank you again.
Hi Hellorp1990, there had been a few articles on medium about some of verstack
s modules, here are the links:
https://danilzherebtsov.medium.com/parallelise-like-a-boss-with-a-single-line-of-code-in-python-30af0d640511
https://danilzherebtsov.medium.com/automatic-feature-selection-in-python-f72ec69215fe
https://danilzherebtsov.medium.com/meet-stacker-automated-ensemble-creation-library-abcad0648a5d
https://danilzherebtsov.medium.com/ultimate-python-dateparser-with-holidays-paydays-and-all-the-good-stuff-fffe270a236
https://danilzherebtsov.medium.com/effortlessly-tune-lgbm-with-optuna-49de040d0784
https://danilzherebtsov.medium.com/advanced-categoric-encoding-like-a-pro-onehot-meantarget-woe-frequency-factorization-99dc69477bf3
https://medium.com/swlh/impute-missing-values-the-right-way-c63735fccccd
https://danilzherebtsov.medium.com/continuous-data-stratification-c121fc91964b
Is this what you are looking for?
And which of the modules have you been using in your research?
@DanilZherebtsov Thank you for the links. I was looking for any published papers. But medium links should be okay. I utilized NanImputer for the current project.
@hellorp1990 BTW next generation NaNImputer is getting ready for release. It will be much faster than the current version.
If possible, please share a link to you paper when published!
@DanilZherebtsov Thanks for letting me know. Hopefully, the new version will be helpful for my other projects where there are several missing data and make it faster. I am submitting my current study now. I will share the link once accepted/published.
@hellorp1990, the new and upgraded version of NaNImputer
had been released. It works much faster, has a simpler architecture and is more reliable. You can upgrade to the new version of verstack
by $ pip install --upgrade verstack
.
The previous version has been kept since it has more configurability under the name NaNImputerLegacy
. It is all reflected in the documentation.
Did you get your paper published?