will it work for multivariate time series prediction both regression and classification

[Sandy4321]

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
weight height age target
1 56 160 34 1.2
2 77 170 54 3.5
3 87 167 43 0.7
4 55 198 72 0.5
5 88 176 32 2.3

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  target 

1 black 56 m 160 34 yes
2 white 77 f 170 54 no
3 yellow 87 m 167 43 yes
4 white 55 m 198 72 no
5 white 88 f 176 32 yes

[RobRomijnders]

Thanks for reaching out, Sandy. Yes, the LSTM will work for both ordinal, categorical, and real-valued targets. In the case of a categorical, you might choose a Multinomial likelihood function.

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On Mon, 11 Jan 2021 at 00:28, Sandy4321 ***@***.***> wrote: 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 weight height age target 1 56 160 34 1.2 2 77 170 54 3.5 3 87 167 43 0.7 4 55 198 72 0.5 5 88 176 32 2.3 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 target 1 black 56 m 160 34 yes 2 white 77 f 170 54 no 3 yellow 87 m 167 43 yes 4 white 55 m 198 72 no 5 white 88 f 176 32 yes — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#16>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AD3MXROPRBX7DDGHOEA52ZLSZIZ2BANCNFSM4V4Z3X5A> .

[Sandy4321]

super, do you have code example?