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gavindiaz/drift
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4aefba33ea7661edfea4371f7987b5e31981394d
drift/utils
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Mark Aron Szulyovszky 3c2a0d4247 refactor(Types): added nested types for Reporting (#162)
2022-01-13 09:21:07 +01:00
..
glassnode
feat(Data): added daily_glassnode DataCollection (#99)
2022-01-03 13:57:36 +01:00
evaluate.py
feat(Evaluation): adjusted transaction costs to be more realistic 0.3% (#150)
2022-01-11 12:41:02 +01:00
hashing.py
feat(DataLoader): caching MVP, added ability to use standard scaling for exogenous data, scaling is now also done before feature selection (#105)
2022-01-04 11:44:35 +01:00
helpers.py
feat(Reporting): added robustness / correlation test (#138)
2022-01-09 20:00:03 +01:00
metrics.py
feat(Metrics): added probabilistic sharpe ratio (#82)
2021-12-23 17:06:22 +01:00
scaler.py
feat(Transformations): added Transformations abstraction & handling in walk_forward_train() & inference() (#161)
2022-01-12 23:22:55 +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
technical_indicators.py
feat(Data): added new derived features + asset pairs for crypto tickers (#6)
2021-11-17 12:07:49 +01:00
types.py
feat(DataLoader): caching MVP, added ability to use standard scaling for exogenous data, scaling is now also done before feature selection (#105)
2022-01-04 11:44:35 +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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