def main():
    fitter = fit.downscale.FitterMultiSeries()
    fitter.set_post_gp(True)
    test = dataset.WalesTest()
    default_burn_in = 15000
    Pool = multiprocess.Pool
    wrapper.downscale_forecast(fitter, test, default_burn_in, Pool)
Example #2
0
def main():
    fitter = fit.downscale.FitterDownscale()
    test = dataset.WalesTest()
    default_burn_in = 15000
    Pool = multiprocess.Pool
    wrapper.downscale_forecast(fitter, test, default_burn_in, Pool)
Example #3
0
def main():
    fitter = fit.downscale.FitterDownscaleDeepGp()
    test = dataset.IsleOfManTest()
    default_burn_in = 0
    Pool = multiprocess.Pool
    wrapper.downscale_forecast(fitter, test, default_burn_in, Pool)