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https://github.com/webclinic017/drift.git
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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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@@ -1499,4 +1473,30 @@ time,high,low,open,close
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2021-11-23,2.718,2.566,2.593,2.659
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2021-11-25,3.106,2.887,2.869,3.044
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2021-11-26,3.144,2.879,3.044,3.055
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2021-11-27,3.206,3.058,3.055,3.109
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2021-11-28,3.148,3.04,3.109,3.045
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2021-11-29,3.084,2.971,3.045,3.05
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2021-11-30,3.002,2.925,3.05,2.986
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2021-12-01,2.836,2.712,2.986,2.732
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2021-12-02,2.68,2.617,2.732,2.653
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2021-12-03,2.828,2.742,2.653,2.815
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2021-12-04,2.88,2.643,2.815,2.834
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2021-12-05,2.957,2.806,2.834,2.843
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2021-12-06,3.068,2.883,2.843,3.031
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2021-12-07,3.104,3.008,3.031,3.04
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2021-12-08,3.125,2.94,3.04,3.125
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2021-12-09,3.205,3.137,3.125,3.16
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2021-12-10,3.393,3.284,3.16,3.295
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2021-12-11,3.373,3.247,3.295,3.279
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2021-12-12,3.34,3.262,3.279,3.294
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2021-12-13,3.45,3.197,3.294,3.348
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