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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
archive
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
data
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
utils
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
.gitignore
feat(Pytorch): added custom model to pytorch-forecasting (#8)
2021-11-18 10:59:06 +01:00
exploration.ipynb
feat(Models): added model that predicts 10 days ahead
2021-11-12 16:10:55 +01:00
fetch_data.py
feat(Models): added a basic sktime model and missing USD crypto currency pairs (#7)
2021-11-17 22:28:34 +01:00
load_data.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
model_walk_forward.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
README.md
feat(Model): trying to get to a model that can train
2021-11-11 17:53:24 +01:00

README.md

Price prediction models

Installation

Make sure you use keras 2.6.0, otherwise you won't be able to train models.

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Readme 11 MiB
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Jupyter Notebook 15%