def __init__(self, validation_size=240):
self.validation_size = validation_size
self.algo = forecast.ForecastAlgorithms(samples=500)
self.naivegbm = NaiveGBMEstimator(validation_size=validation_size)
self.argbm = ArGBMEstimator(validation_size=validation_size)
self.armagbm = ArmaGBMEstimator(validation_size=validation_size)
self.arimagbm = ArimaGBMEstimator(validation_size=validation_size)
self.etsgbm = EtsGBMEstimator(validation_size=validation_size)
def __init__(self, validation_size=240):
self.validation_size = validation_size
self.algo = forecast.ForecastAlgorithms(samples=500)
self.gbm = lgb.LGBMRegressor(objective='regression_l1')
def __init__(self):
self.algo = forecast.ForecastAlgorithms(samples=500)
def __init__(self, nbags=10, samples_frac=0.6):
# nbags = 10
# samples_frac = 60% of training samples
self.nbags = nbags
self.samples_frac = samples_frac
self.algo = forecast.ForecastAlgorithms(samples=500)