Subsampling continuous and discrete response variables

T. Moudiki

10 months ago

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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 MTS and DeepMTS (multivariate time series forecasting): see below
Subsample continuous and discrete responses

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