5c8c80cd8d
- statsmodels ARIMA wrapper for benchmarks - method refactoring at PWFTS - auto_update at PWFTS - method refactoring at ResidualAnalysis
18 lines
379 B
Python
18 lines
379 B
Python
#!/usr/bin/python
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# -*- coding: utf8 -*-
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from pyFTS import fts
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class Naive(fts.FTS):
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def __init__(self, name):
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super(Naive, self).__init__(1, "Naive " + name)
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self.name = "Naïve Model"
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self.detail = "Naïve Model"
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self.benchmark_only = True
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self.isHighOrder = False
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def forecast(self, data):
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return [k for k in data]
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