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Oct 15th, 2019
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Python 0.37 KB | None | 0 0
  1. for advance in numpy.linspace(0,0.9, 10):
  2.     for algorithm in ["Ensemble", "TeamRegressor()"]:
  3.         print("%s at %0.1f \t= " % (algorithm, advance))
  4.         print (tuple(map(lambda x: round(x, 3), both_data_df_advances[
  5.             (both_data_df_advances.algorithm == algorithm) & (both_data_df_advances.advance == advance)
  6.         ].sort_values(by="date")["MRE"])))
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