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It would be highly beneficial to my projects if pymc-learn was ported to PyMC5, which has some excellent features such as the recently-released do operator.
The text was updated successfully, but these errors were encountered:
Currently I am mostly using scikit-learn (and Keras/Tensorflow) for machine learning. With PyMC I am mostly building multi-level models currently, but I am hoping to move more towards using PyMC alongside ML to quantify the uncertainty in some of my predictions (e.g. resource demand forecasts).
So currently I am not using any of pymc-learn, but some of the things in it that I would like to use in a PyMC5 environment include
multi-layer perceptron
Dirichlet processes
I see for Gaussian processes that there is an example in the PyMC documentation, and there is also the package Gumbi that should be fine.
Hi PyMC-Learn Devs,
It would be highly beneficial to my projects if pymc-learn was ported to PyMC5, which has some excellent features such as the recently-released do operator.
The text was updated successfully, but these errors were encountered: