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WillKoehrsen/normal_model.py

Last active August 21, 2020 05:21
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normal_model.py
import pymc3 as pm
# Context for the model
with pm.Model() as normal_model:
# The prior for the data likelihood is a Normal Distribution
family = pm.glm.families.Normal()
# Creating the model requires a formula and data (and optionally a family)
pm.GLM.from_formula(formula, data = X_train, family = family)
# Perform Markov Chain Monte Carlo sampling letting PyMC3 choose the algorithm
normal_trace = pm.sample(draws=2000, chains = 2, tune = 500, njobs=-1)
@carlosclaiton
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What is the formula?

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