Bugfix on IncrementalEnsembleFTS
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@ -46,9 +46,6 @@ class EnsembleFTS(fts.FTS):
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"""The method used to mix the several model's forecasts into a unique point forecast. Options: mean, median, quantile, exponential"""
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self.interval_method = kwargs.get('interval_method', 'quantile')
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"""The method used to mix the several model's forecasts into a interval forecast. Options: quantile, extremum, normal"""
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#self.order = 1
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self.exp_factor = kwargs.get('exp_factor', 0.5)
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"""Multiplicative factor on exponential averaging of the models"""
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def append_model(self, model):
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"""
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@ -105,7 +102,10 @@ class EnsembleFTS(fts.FTS):
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l = len(self.models)
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if l == 1:
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return forecasts[0]
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ret = np.nansum([np.exp(-(self.exp_factor * (l - k))) * forecasts[k] for k in range(l)])
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w = [np.exp(-(l - k)) for k in range(l)]
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sw = sum(w)
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w = w / sw
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ret = np.nansum([w[k] * forecasts[k] for k in range(l)])
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return ret
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