pymc — Easy Playground

Bayesian modeling with MCMC/NUTS sampling for posterior inference

Getting started with pymcRun locally

Install

pip install pymc

Python CodeRun locally

# Install: pip install pymc
import pymc

# Basic pymc usage
print(f"Using pymc")
# See documentation for detailed examples

# Install: pip install pymc
import pymc

# Basic pymc usage
print(f"Using pymc")
# See documentation for detailed examples

Expected Output

# Expected output shown below
# (Run locally with: pymc)

pymc is a third-party package. Bayesian modeling with MCMC/NUTS sampling for posterior inference. Install with: pip install pymc

Try modifying the code above to explore different behaviors. Can you extend the example to handle a new use case?