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Forecasting in Non-stationary Environments with FuzzyTime Series

MINDS - Machine Intelligence and Data Science Lab

Petrônio C. L. Silva ORCID iD icon, Carlos A. Severiano Jr. ORCID iD icon, Marcos A. Alves ORCID iD icon, Rodrigo Silva ORCID iD icon, Miri Weiss Cohen ORCID iD icon, Frederico G. Guimarães ORCID iD icon

MINDS - Machine Intelligence and Data Science Lab           pyFTS - Fuzzy Time Series for Python

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nsfts's Issues

will it work for multivariate time series

great code thanks
may you clarify :
will it work for multivariate time series prediction both regression and classification
1
where all values are continues values
2
or even will it work for multivariate time series where values are mixture of continues and categorical values
for example 2 dimensions have continues values and 3 dimensions are categorical values

color        weight     gender  height  age  

1 black 56 m 160 34
2 white 77 f 170 54
3 yellow 87 m 167 43
4 white 55 m 198 72
5 white 88 f 176 32

basic Nx1 d array for forecasting

Hi @petroniocandido I am really interested in the work!
I was wondering if i have a basic nX1 d array, I am trying to work out how to call the train and test function on the data.
would you have small example that you can share.
Best,
Andrew

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