tensorflow / tensorflow/probability
will it work for multivariate time series prediction both regression and classification
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Description
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
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Research direction
No file, test, or entry point is mentioned. The issue asks whether multivariate time-series inputs with continuous and categorical values support both regression and classification; completion would require a decided support boundary and corresponding project guidance or implementation scope.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100