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

[jro1234]

This library produces features out of series data, resulting in hopefully more informative series data. Seems like to analyze the feature data you need other libraries that produce models.

[Sandy4321]

then will it extract features from such a data each row means the time series, and columns represent different continues or/and discrete/category observation.

1 where all values are continues values weight height age target time 1| 56 160 34 1.2 time 2| 77 170 54 3.5 time 3| 87 167 43 0.7 time 4| 55 198 72 0.5 time 5| 88 176 32 2.3 etc

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 

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