import pyaf.Bench.TS_datasets as tsds import pyaf.Bench.Artificial as art import warnings H = 2 with warnings.catch_warnings(): warnings.simplefilter("error") tester1 = art.cArtificial_Tester(tsds.load_artificial_datsets("S"), "ARTIFICIAL_S") # lSignal = list(tester1.mTSSpecPerSignal.keys())[0]; lSignal = "Signal_100_D_0_linear_12_exp_4_40" tester1.testSignals(lSignal, H) # tester1.run_multiprocessed(18); del tester1 # tester2 = art.cArtificial_Tester(tsds.load_artificial_datsets("M") , "ARTIFICIAL_M"); # lSignal = list(tester2.mTSSpecPerSignal.keys())[0]; # tester2.testSignals(lSignal , H); #tester2.testSignals("Signal_450_D_0_poly_105_exp_4_90" , H); # tester2.run_multiprocessed(18); # del tester2; # tester3 = art.cArtificial_Tester(tsds.load_artificial_datsets("L") , "ARTIFICIAL_L"); # lSignal = list(tester3.mTSSpecPerSignal.keys())[0]; # tester3.testSignals(lSignal , H); # tester3.testSignals("Signal_700_D_0_poly_15_exp_0", H); # tester3.run_multiprocessed(18); # del tester3; # tester4 = art.cArtificial_Tester(tsds.load_artificial_datsets("XL") , "ARTIFICIAL_XL"); # lSignal = list(tester4.mTSSpecPerSignal.keys())[0]; # tester4.testSignals(lSignal , H);
import pandas as pd import numpy as np import pyaf.Bench.TS_datasets as tsds import pyaf.Bench.Artificial as art import warnings with warnings.catch_warnings(): warnings.simplefilter("error") tester1 = art.cArtificial_Tester(tsds.load_artificial_datsets("S"), "ARTIFICIAL_S") tester1.run_multiprocessed(18) del tester1 tester2 = art.cArtificial_Tester(tsds.load_artificial_datsets("M"), "ARTIFICIAL_M") tester2.run_multiprocessed(18) del tester2 tester3 = art.cArtificial_Tester(tsds.load_artificial_datsets("L"), "ARTIFICIAL_L") tester3.run_multiprocessed(18) del tester3 tester4 = art.cArtificial_Tester(tsds.load_artificial_datsets("XL"), "ARTIFICIAL_XL") tester4.run_multiprocessed(18) del tester4