# init repo notebook
!git clone https://github.com/rramosp/ppdl.git > /dev/null 2> /dev/null
!mv -n ppdl/content/init.py ppdl/content/local . 2> /dev/null
!pip install -r ppdl/content/requirements.txt > /dev/null

LAB. Bayes posteriors and classifiers

1. Calculate the posterior from a Gaussian mixture likelihood using integration

2. Classifier: loss function

3. Classifier: optimization