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gavindiaz/drift
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mirror of https://github.com/webclinic017/drift.git synced 2026-07-27 18:57:55 +00:00
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d047b7417e66a02911a8ded8b75cb3d5ef18b684
drift/utils
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Mark Aron Szulyovszky d047b7417e feat(WalkForward): added regression/classification switch, archived old experiments, wrapped the process into run_whole_pipeline() (#10)
* refactor(WalkForward): cleaned up training & evaluation code

* refactor: added run_whole_pipeline(), moved all previous models to archive
2021-12-14 18:16:17 +01:00
..
evaluate.py
feat(WalkForward): added regression/classification switch, archived old experiments, wrapped the process into run_whole_pipeline() (#10)
2021-12-14 18:16:17 +01:00
get_prices.py
feat(Forecasting): pytorch-forecasting scaffolding is now working, added narrow data format, fixed missing time column index name (#5)
2021-11-16 10:00:26 +01:00
normalize.py
feat(Model): now successfully training the basic LSTM model
2021-11-11 18:29:05 +01:00
rolling.py
feat(Models): added MAE & RMSE metrics, fixed NaN & Inf values in data,
2021-11-14 23:50:25 +01:00
sktime.py
feat(Models): added a basic sktime model and missing USD crypto currency pairs (#7)
2021-11-17 22:28:34 +01:00
sliding_window.py
feat(Data): added various data loading config options, walk forward method draft (#9)
2021-12-01 09:28:24 +01:00
technical_indicators.py
feat(Data): added new derived features + asset pairs for crypto tickers (#6)
2021-11-17 12:07:49 +01:00
visualize.py
feat(Model): now successfully training the basic LSTM model
2021-11-11 18:29:05 +01:00
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