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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
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time,high,low,open,close
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2017-10-09,0.003154,0.001419,0.002689,0.002126
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2017-10-29,0.00469,0.00264,0.00368,0.00269
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@@ -1499,4 +1473,30 @@ time,high,low,open,close
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2021-11-28,0.09533,0.0895,0.09342,0.09525
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2021-12-03,0.1019,0.09362,0.09755,0.094
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2021-12-09,0.0934,0.08867,0.0924,0.08872
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2021-12-10,0.09305,0.08754,0.08872,0.08778
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2021-12-13,0.09156,0.08604,0.09109,0.08606
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