Example usage

import numpy as np
from gpr_algorithm import GPR

feature_names = ['weight', 'height']
target_names = ['sick', 'healthy']

cls = GPR(
    feature_names=feature_names,
    target_names=target_names,
    max_n_of_rules=2, max_n_of_ands=2, n_generations=10, n_populations=10,
    verbose=False
)

attributes = np.array([
    [.9, .1],  # sick
    [1., .9],  # sick
    [0., .9],
    [.1, .1]
])
labels = np.array([
    0,  # sick
    0,  # sick
    1,
    1
])
cls.fit(attributes, labels)

pred_labels = cls.predict(attributes)

assert np.all(labels == pred_labels)
rules = cls.rules
assert rules == ['IF weight is Low THEN healthy | Support: 0.9500', 'ELSE sick']