can you please share some simple, but meaningful toy example like pycorels

[Sandy4321]

can you please share some simple, but meaningful toy example like pycorels to make sure it works for example like https://github.com/fingoldin/pycorels Toy dataset (See picture example above) from corels import CorelsClassifier

["loud", "samples"] is the most verbose setting possible C = CorelsClassifier(max_card=2, c=0.0, verbosity=["loud", "samples"])

4 samples, 3 features X = [[1, 0, 1], [0, 0, 0], [1, 1, 0], [0, 1, 0]] y = [1, 0, 0, 1]

Feature names features = ["Mac User", "Likes Pie", "Age < 20"]

Fit the model C.fit(X, y, features=features, prediction_name="Has a dirty computer")

Print the resulting rulelist print(C.rl())

Predict on the training set print(C.predict(X))

[Sandy4321]

Can you please add simple example I do have time this Sunday so would try You should be interesting in second opinion how your code works, or you have some reservations And need more time to debug?

[Sandy4321]

any progress in this direction? it would be simple for you to create such a n example?