def calculate_historic_means_test(self):
"""Test the calculation of the historic means."""
dataOrg = [[1.0, 10], [2.0, 12], [3.0, 14], [4.0, 13], [5.0, 17], [6.0, 20], [7.0, 23], [8.0, 26], [9.0, 29], [10.0, 31], [11.0, 26], [12.0, 21], [13.0, 18], [14.0, 14], [15.0, 13], [16.0, 19], [17.0, 24], [18.0, 28], [19.0, 30], [20.0, 32]]
# 2 2 1 4 3 3 3 3 2 5 5 3 4 1 6 5 4 2 2
# Sum(History) 12 13 14 16 14 16 18 18 19 18 19 19 20 18 19
correctResult = [ 2.4, 2.6, 2.8, 3.2, 2.8, 3.2, 3.6, 3.6, 3.8, 3.6, 3.8, 3.8, 4.0, 3.6]
tsOrg = TimeSeries.from_twodim_list(dataOrg)
mase = MeanAbsoluteScaledError(historyLength=5)
result = mase._get_historic_means(tsOrg)
assert result == correctResult
def calculate_historic_means_test(self):
"""Test the calculation of the historic means."""
dataOrg = [[1.0, 10], [2.0, 12], [3.0, 14], [4.0, 13], [5.0, 17], [6.0, 20], [7.0, 23], [8.0, 26], [9.0, 29], [10.0, 31], [11.0, 26], [12.0, 21], [13.0, 18], [14.0, 14], [15.0, 13], [16.0, 19], [17.0, 24], [18.0, 28], [19.0, 30], [20.0, 32]]
# 2 2 1 4 3 3 3 3 2 5 5 3 4 1 6 5 4 2 2
# Sum(History) 12 13 14 16 14 16 18 18 19 18 19 19 20 18 19
correctResult = [ 2.4, 2.6, 2.8, 3.2, 2.8, 3.2, 3.6, 3.6, 3.8, 3.6, 3.8, 3.8, 4.0, 3.6]
tsOrg = TimeSeries.from_twodim_list(dataOrg)
mase = MeanAbsoluteScaledError(historyLength=5)
result = mase._get_historic_means(tsOrg)
assert result == correctResult
