Probabilistic machine learning is still machine learning. If you're referring to one of the popular tensor frameworks, pretty much all of them have probabilisti

Probabilistic machine learning is still machine learning. If you're referring to one of the popular tensor frameworks, pretty much all of them have probabilistic features or add-ons [1][2][3]. There are also frameworks developed specifically for this kind of work [4][5]. This [6] is a more in depth look at hierarchical / multi-level modeling. The prediction section [7] specifically goes over cross validation and inference. [1] https://www.tensorflow.org/probability/examples/Multilevel_Modeling_Primer https://www.tensorflow.org/probability/examples/Multilevel_M... [2] https://pyro.ai/examples/forecasting_iii.html https://pyro.ai/examples/forecasting_iii.html [3] http://edwardlib.org/ http://edwardlib.org/ [4] https://mc-stan.org/ https://mc-stan.org/ [5] https://docs.pymc.io/ https://docs.pymc.io/ [6] https://docs.pymc.io/notebooks/multilevel_modeling.html https://docs.pymc.io/notebooks/multilevel_modeling.html [7] https://docs.pymc.io/notebooks/multilevel_modeling.html#Prediction https://docs.pymc.io/notebooks/multilevel_modeling.html#Pred...