e05769391bc3d2cb8680f27bcb67c02548124a6a,Documentation/basics.py,,learn_CLTSPN,#,259

Before Change

    from spn.algorithms.Inference import log_likelihood

    ll = log_likelihood(spn, train_data)
    for i,x in enumerate(train_data):
        print(i,x,ll[i])

    
    llm = log_likelihood(spn_marg, test_data)
    print("python ll spn_marg", llm, np.exp(llm))

After Change

    from spn.algorithms.Inference import log_likelihood

    ll = log_likelihood(spn, train_data)
    print(np.mean(ll))


def learn_CNET():
    import numpy as np

Instances