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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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2017-10-09,6.482,4.917,4.273,5.768
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2017-10-10,5.697,5.129,5.768,5.454
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2017-10-11,5.781,5.231,5.454,5.478
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2017-10-12,6.633,5.28,5.478,5.521
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2017-10-13,5.857,4.436,5.521,5.592
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2017-10-14,6.165,5.739,5.592,6.065
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2017-10-15,6.207,5.155,6.065,5.891
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2017-10-16,6.31,5.428,5.891,5.618
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2017-10-17,6.325,5.921,5.613,6.097
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2017-10-18,6.67,5.972,6.093,6.1
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2017-10-19,6.43,5.825,6.103,6.017
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2017-10-20,6.922,5.802,6.017,5.969
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2017-10-21,6.026,5.544,5.976,5.997
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2017-10-22,6.522,5.929,6.003,6.143
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2017-10-23,6.585,5.846,5.951,6.154
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2017-10-24,6.616,5.297,6.161,6.116
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2017-10-25,6.54,6.082,6.116,6.207
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2017-10-26,6.497,5.56,6.316,6.043
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2017-10-27,6.027,5.409,6.049,5.949
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2017-10-28,6.032,5.72,5.955,6.032
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2017-10-29,6.367,5.877,5.981,6.152
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2017-10-30,6.824,5.93,6.151,6.618
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2017-10-31,7.502,6.447,6.612,6.826
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2017-11-01,7.41,6.405,6.836,6.617
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2017-11-02,6.92,6.088,6.627,6.45
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2017-11-03,7.121,6.346,6.415,7.079
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2017-11-04,8.618,7.187,7.079,8.137
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2017-11-05,8.2,7.162,8.134,7.627
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2017-11-06,7.829,6.939,7.65,7.76
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2021-11-05,531.58,478.21,465.73,524.37
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