LSTM_tsc
LSTM_tsc copied to clipboard
will it work for multivariate time series prediction both regression and classification
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
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.
On Mon, 11 Jan 2021 at 00:28, Sandy4321 [email protected] 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 https://github.com/RobRomijnders/LSTM_tsc/issues/16, or unsubscribe https://github.com/notifications/unsubscribe-auth/AD3MXROPRBX7DDGHOEA52ZLSZIZ2BANCNFSM4V4Z3X5A .
super, do you have code example?