Truthfinder 3

compute_confidence.py

def compute_confidence(df, objects, source_trust, attribute_key):
    # compute claims confidence score

    all_objects_data = pd.DataFrame()
    for obj in objects:
        data = df[df['object'] == obj]
        
       # Sub-step 1. compute from source trust
       data, confidence = compute_confidence_score(data, source_trust, attribute_key)

        # Sub-step 2. similarity between claims
        data, confidence = compute_confidence_score_with_similarity(data, confidence, attribute_key)

        # Sub-step 3. compute the adjusted confidence
        data, confidence = compute_final_confidence(data, confidence)

        # concatenate all objects
        all_objects_data = pd.concat([all_objects_data, data])
    return all_objects_data