MINDS - Machine Intelligence and Data Science Lab
Petrônio C. L. Silva , Carlos A. Severiano Jr.
, Marcos A. Alves
, Rodrigo Silva
, Miri Weiss Cohen
, Frederico G. Guimarães
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Forecasting in Non-stationary Environments with FuzzyTime Series
MINDS - Machine Intelligence and Data Science Lab
Petrônio C. L. Silva , Carlos A. Severiano Jr.
, Marcos A. Alves
, Rodrigo Silva
, Miri Weiss Cohen
, Frederico G. Guimarães
![]() |
![]() |
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
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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