pymc.model.core.model_to_graphviz#
- pymc.model.core.model_to_graphviz(model=None, *, var_names=None, formatting='plain')[source]#
Produce a graphviz Digraph from a PyMC model.
- Requires graphviz, which may be installed most easily with
conda install -c conda-forge python-graphviz
Alternatively, you may install the graphviz binaries yourself, and then pip install graphviz to get the python bindings. See http://graphviz.readthedocs.io/en/stable/manual.html for more information.
- Parameters:
Examples
How to plot the graph of the model.
import numpy as np from pymc import HalfCauchy, Model, Normal, model_to_graphviz J = 8 y = np.array([28, 8, -3, 7, -1, 1, 18, 12]) sigma = np.array([15, 10, 16, 11, 9, 11, 10, 18]) with Model() as schools: eta = Normal("eta", 0, 1, shape=J) mu = Normal("mu", 0, sigma=1e6) tau = HalfCauchy("tau", 25) theta = mu + tau * eta obs = Normal("obs", theta, sigma=sigma, observed=y) model_to_graphviz(schools)