Transformations refactoring
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pyFTS/common/transformations/adaptiveexpectation.py
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pyFTS/common/transformations/adaptiveexpectation.py
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pyFTS/common/transformations/boxcox.py
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pyFTS/common/transformations/boxcox.py
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pyFTS/common/transformations/differential.py
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pyFTS/common/transformations/differential.py
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pyFTS/common/transformations/roi.py
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pyFTS/common/transformations/roi.py
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pyFTS/common/transformations/scale.py
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pyFTS/common/transformations/scale.py
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pyFTS/common/transformations/transformation.py
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pyFTS/common/transformations/transformation.py
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pyFTS/common/transformations/trend.py
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pyFTS/common/transformations/trend.py
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@ -39,8 +39,8 @@ l = len(dados)
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particionador = Grid.GridPartitioner(data = dados, npart = 10, func = Membership.trimf)
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#modelo = pwfts.ProbabilisticWeightedFTS(partitioner = particionador, order = 1)
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#modelo = hofts.WeightedHighOrderFTS(partitioner = particionador, order = 1, standard_horizon=3)
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modelo = chen.ConventionalFTS(partitioner = particionador, standard_horizon=3)
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modelo = hofts.WeightedHighOrderFTS(partitioner = particionador, order = 1, standard_horizon=1, lags=[2])
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#modelo = chen.ConventionalFTS(partitioner = particionador, standard_horizon=3)
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modelo.fit(dados)
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