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31dc847be1b37b66aadbafacd526d8c94384c9a5
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3 Commits

Author SHA1 Message Date
Daniel Szemerey 31dc847be1 Feature(Speed): Python launches faster by conditionally importing models. (#169) 
* feat: Added optional import of models.

* fix: Models weren't wrapped into abstract class, fixed it.

* chore: Deleted leftover comments.

* fix: Same merge commit as on remote.

* fix: System wasn't putting in RF because there was no differentiation between RF as regressor and RF as classificator.

* fix(Models): use the XGBoostModel wrapper

Co-authored-by: Daniel Szemerey <szemereydaniel@gmail.com>
Co-authored-by: Mark Aron Szulyovszky <mark.szulyovszky@gmail.com>
 2022-01-14 14:29:24 +01:00
Mark Aron Szulyovszky 4aefba33ea fix(Pipeline): remove PCA step that introduced clear lookahead bias (#164) 2022-01-13 12:11:38 +01:00
Daniel Szemerey 3084f5e271 Refractor(Main Pipeline): Refractored the two main steps and the data processing. (#156) 
* refr: Took out main primary and secondary loops and data processing.

* feat: Tidied the code up.

* feat: Saving models and results now works in a type safe way.

* fix: There was error in the saving function.

* chore: Took out some remaining comments.

* fix: Fixed the previous data checking process.

* feat: Fixed model selection method. I will continue the inference after we merged.

Co-authored-by: Daniel Szemerey <szemereydaniel@gmail.com>
 2022-01-12 23:10:18 +01:00