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
