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- for advance in numpy.linspace(0,0.9, 10):
- for algorithm in ["Ensemble", "TeamRegressor()"]:
- print("%s at %0.1f \t= " % (algorithm, advance))
- print (tuple(map(lambda x: round(x, 3), both_data_df_advances[
- (both_data_df_advances.algorithm == algorithm) & (both_data_df_advances.advance == advance)
- ].sort_values(by="date")["MRE"])))
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