Mark Aron Szulyovszky 5482e3fc95 feat(Config): added start_date property (#245)
* refactor(Training): remove non-expanding window option

* feat(Config): added `start_date` property

* fix(Inference): added start_date here as well

* fix(Linter): ran
2022-03-15 17:48:43 +01:00
2022-03-12 22:25:03 +01:00
2022-01-26 22:06:40 +01:00

Financial time series prediction

And end-to-end pipeline to train predictive Machine Learning models on financial (non-stationary, regime changing) time series. Includes feature selection and meta labelling.

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Python 85%
Jupyter Notebook 15%