waelbenamara

"""
Dirichlet-Categorical Bayesian Learning: Alice's Dietary Preference
Exact Implementation of Thesis Example with Gibbs Sampling
4-Category Model: Vegan, Vegetarian, Pescatarian, Omnivore

Run this script to generate all CSVs and plots.
Results will be saved in the current directory.
"""

import numpy as np

waelbenamara

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from mpl_toolkits.mplot3d.art3d import Poly3DCollection

alpha = np.array([2, 2, 2, 2])

def barycentric_to_cartesian(bary):
    vertices = np.array([
        [1, 0, 0],

waelbenamara

"""

This code demonstrates Gibbs sampling over a probabilistic database
with two delta-tuples representing dietary preferences constrained by
two query-answer observations.
ref = https://openproceedings.org/2022/conf/edbt/paper-66.pdf 
Gamma Probabilistic Databases:
Learning from Exchangeable Query-Answers
"""

waelbenamara