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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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2017-10-09,141.67,110.84,114.89,121.56
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2017-10-10,102.94,91.35,121.56,100.37
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2017-10-11,113.22,107.96,100.37,111.39
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2017-10-13,126.92,106.3,102.45,124.59
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2017-10-15,125.05,110.9,109.08,119.38
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2017-10-16,143.49,117.84,119.38,121.0
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2017-10-17,136.44,114.03,121.11,119.97
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2017-10-18,118.89,104.36,120.06,108.19
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2017-10-19,120.79,105.91,108.19,110.47
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2017-10-20,122.81,104.62,110.47,108.31
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2017-10-21,92.37,84.76,104.97,91.71
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2017-10-25,70.47,66.13,78.72,66.36
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2017-10-26,72.71,68.73,66.32,69.73
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2017-10-27,67.62,64.96,69.73,66.85
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2017-10-28,67.73,65.73,66.85,66.54
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2017-10-29,72.46,64.25,66.56,68.06
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2017-10-30,76.55,74.0,68.08,74.93
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2017-10-31,78.49,70.79,74.93,71.21
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2017-11-01,84.65,76.03,71.23,76.38
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2017-11-02,87.24,71.85,76.43,84.5
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2017-11-03,103.88,84.09,84.5,89.97
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2017-11-05,88.74,84.29,94.07,87.29
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2021-11-14,10.34,10.13,10.55,10.13
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2021-12-12,9.346,9.099,9.134,9.22
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2021-12-13,9.372,9.158,9.217,9.234
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