Petrônio Cândido 7f6ab34b78 Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation

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index.rst.txt

Documentation update

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modules.rst.txt

Updating the documentation

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pyFTS.benchmarks.rst.txt

New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update

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pyFTS.common.rst.txt

Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation

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pyFTS.common.transformations.rst.txt

Documentation update

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pyFTS.data.rst.txt

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pyFTS.distributed.rst.txt

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pyFTS.hyperparam.rst.txt

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pyFTS.models.ensemble.rst.txt

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pyFTS.models.incremental.rst.txt

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pyFTS.models.multivariate.rst.txt

New benchmarks.Tests module; Improvements on forecast_ahead_* function; Documentation update

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pyFTS.models.nonstationary.rst.txt

Updating the documentation

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pyFTS.models.rst.txt

Incremental module

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pyFTS.models.seasonal.rst.txt

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pyFTS.partitioners.rst.txt

Time Series sample classification infrastructure; WMVFTS is the first method with a functional implementation

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pyFTS.probabilistic.rst.txt

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pyFTS.rst.txt

Smooting transformations

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quickstart.rst.txt

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