Beispiel #1
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def main():
    fitter = fit.time_series.FitterHyperSlice()
    training = dataset.Cardiff10Training()
    seed = random.SeedSequence(177782466634943011322205683796258167716)
    wrapper.time_series_fit(fitter, training, seed)
def main():
    fitter = fit.time_series.FitterHyperSlice()
    training = dataset.Cardiff5Training()
    seed = random.SeedSequence(230692462564320493984147630542548799902)
    wrapper.time_series_fit(fitter, training, seed)
Beispiel #3
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def main():
    fitter = fit.time_series.FitterHyperSlice()
    training = dataset.Cardiff1Training()
    seed = random.SeedSequence(277310809467192855312273294721104678816)
    wrapper.time_series_fit(fitter, training, seed)
Beispiel #4
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def main():
    fitter = fit.time_series.FitterHyperSlice()
    training = dataset.CardiffTraining()
    seed = random.SeedSequence(80188344912064343414862752267182073625)
    wrapper.time_series_fit(fitter, training, seed)
Beispiel #5
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def main():
    fitter = fit.time_series.FitterMcmc()
    training = dataset.LondonSimulatedTraining()
    seed = random.SeedSequence(199862391501461976584157354151760167878)
    wrapper.time_series_fit(fitter, training, seed)
Beispiel #6
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def main():
    fitter = fit.time_series.FitterSlice()
    training = dataset.LondonSimulatedTraining()
    seed = random.SeedSequence(170300509484813619611218577657545000221)
    wrapper.time_series_fit(fitter, training, seed)
def main():
    fitter = fit.time_series.FitterHyperSlice()
    training = dataset.LondonTraining()
    seed = random.SeedSequence(126906591942422578422472743313642430795)
    wrapper.time_series_fit(fitter, training, seed)