442915f847
feat(Data): create DataSource, DataCollection, added hourly crypto data ( #96 )
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* feat(Data): create DataSource, DataCollection, added hourly crypto data
* fix(Data): hourly data format, loading & config
2021-12-31 19:04:27 +01:00
0963df2087
refactor(Project): move out load_data to utils, rename fetch_data to run_fetch_data, got classifiers to work ( #38 )
2021-12-17 17:41:50 +01:00
d047b7417e
feat(WalkForward): added regression/classification switch, archived old experiments, wrapped the process into run_whole_pipeline() ( #10 )
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* 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
d4676e099b
feat(Pytorch): added custom model to pytorch-forecasting ( #8 )
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* feat: Refractored and created new model. Pipeline not ready yet.
* feat: Implemented and refactored a data pipeline.
* ref: Refractored to make more sense.
* feat: Training works now with models that you can change.
* feat: Added predict function but without working instructions.
* feat: gitignore.
2021-11-18 10:59:06 +01:00
58137a0f36
feat(Data): fetch prices from cryptocompare (and alphavantage)
2021-11-09 12:58:05 +01:00
Mark Aron Szulyovszky