Figure 3.15 from Barber using daft

chest_clinic.png

chest_clinic.py

# https://docs.daft-pgm.org/en/latest/
# pip install daft
# Figure 3.15: Belief network structure for the Chest Clinic example.

import daft
from matplotlib import rc

rc("font", family="serif", size=12)
rc("text", usetex=True)

pgm = daft.PGM()
pgm.add_node("a", r"$a$", 1, 5, aspect=1)
pgm.add_node("t", r"$t$", 1, 3, aspect=1)
pgm.add_edge("a", "t")

pgm.add_node("s", r"$s$", 4, 4, aspect=1)
pgm.add_node("l", r"$l$", 3, 3, aspect=1)
pgm.add_node("b", r"$b$", 5, 3, aspect=1)
pgm.add_edge("s", "l")
pgm.add_edge("s", "b")


pgm.add_node("e", r"$e$", 2, 2, aspect=1)
pgm.add_node("x", r"$x$", 1, 1, aspect=1)
pgm.add_node("d", r"$d$", 4, 1, aspect=1)

pgm.add_edge("t", "e")
pgm.add_edge("l", "e")
pgm.add_edge("b", "d")
pgm.add_edge("e", "x")
pgm.add_edge("e", "d")

# Render and save.
pgm.render(dpi=100)
pgm.savefig("chest_clinic.png", dpi=100)

dodder.mat

exercise_4.4.png

WikiAdjSmall.mat