- SeasonalIndexer on sfts
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@ -421,12 +421,13 @@ def run_ahead(mfts, partitioner, train_data, test_data, steps, resolution, windo
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from pyFTS import hofts, ifts, pwfts, ensemble
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from pyFTS import hofts, ifts, pwfts, ensemble
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from pyFTS.partitioners import Grid, Entropy, FCM
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from pyFTS.partitioners import Grid, Entropy, FCM
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from pyFTS.benchmarks import Measures, arima, quantreg
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from pyFTS.benchmarks import Measures, arima, quantreg
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from pyFTS.models.seasonal import SeasonalIndexer
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tmp = [hofts.HighOrderFTS, ifts.IntervalFTS, pwfts.ProbabilisticWeightedFTS, arima.ARIMA, ensemble.AllMethodEnsembleFTS]
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tmp = [hofts.HighOrderFTS, ifts.IntervalFTS, pwfts.ProbabilisticWeightedFTS, arima.ARIMA, ensemble.AllMethodEnsembleFTS]
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tmp2 = [Grid.GridPartitioner, Entropy.EntropyPartitioner, FCM.FCMPartitioner]
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tmp2 = [Grid.GridPartitioner, Entropy.EntropyPartitioner, FCM.FCMPartitioner]
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tmp3 = [Measures.get_distribution_statistics]
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tmp3 = [Measures.get_distribution_statistics, SeasonalIndexer.SeasonalIndexer, SeasonalIndexer.LinearSeasonalIndexer]
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if mfts.benchmark_only:
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if mfts.benchmark_only:
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_key = mfts.shortname + str(mfts.order if mfts.order is not None else "") + str(mfts.alpha)
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_key = mfts.shortname + str(mfts.order if mfts.order is not None else "") + str(mfts.alpha)
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