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

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10. Predictive scenarios simulation in R, Python and Excel using Techtonique API Nov 3, 2024
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47. mlsauce's `v0.12.0`: prediction intervals for LSBoostRegressor Apr 15, 2024
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49. learningmachine v1.1.2: for Python Apr 1, 2024
50. learningmachine v1.0.0: prediction intervals around the probability of the event 'a tumor being malignant' Mar 25, 2024
51. Bayesian inference and conformal prediction (prediction intervals) in nnetsauce v0.18.1 Mar 18, 2024
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