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)
def main(): fitter = fit.time_series.FitterHyperSlice() training = dataset.Cardiff1Training() seed = random.SeedSequence(277310809467192855312273294721104678816) wrapper.time_series_fit(fitter, training, seed)
def main(): fitter = fit.time_series.FitterHyperSlice() training = dataset.CardiffTraining() seed = random.SeedSequence(80188344912064343414862752267182073625) wrapper.time_series_fit(fitter, training, seed)
def main(): fitter = fit.time_series.FitterMcmc() training = dataset.LondonSimulatedTraining() seed = random.SeedSequence(199862391501461976584157354151760167878) wrapper.time_series_fit(fitter, training, seed)
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)