Subsampling continuous and discrete response variables
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New in nnetsauce v0.16.3:
- add robust scaler to
type_scaling - relatively faster scaling in preprocessing
- Regression-based classifiers (see https://www.researchgate.net/publication/377227280_Regression-based_machine_learning_classifiers)
DeepMTS(multivariate time series forecasting with deep quasi-random layers): see https://thierrymoudiki.github.io/blog/2024/01/15/python/quasirandomizednn/forecasting/DeepMTS- AutoML for
MTS(multivariate time series forecasting): see https://thierrymoudiki.github.io/blog/2023/10/29/python/quasirandomizednn/MTS-LazyPredict - AutoML for
DeepMTS(multivariate time series forecasting): see https://github.com/Techtonique/nnetsauce/blob/master/nnetsauce/demo/thierrymoudiki_20240106_LazyDeepMTS.ipynb - Spaghetti plots for
MTSandDeepMTS(multivariate time series forecasting): see below - Subsample continuous and discrete responses
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