prospector/ranking/rank.py
def predict(model_name: str, candidate: Commit) -> float:
    """
    The function computes the similarity score for the given commit
    """
    # model = load_model(model_name)

    # compute the actual value here
    # value = model.predict(commit_features)

    return (
        random.random() * 2 - 1
    )

    The function computes the similarity score for the given commit
    
The function computes the similarity score for the given commit
The function computes the similarity score for the given commit
def predict(model_name: str, candidate: Commit) -> float:
    return (
        random.random() * 2 - 1
    )
def predict ( model_name : str , candidate : Commit ) -> float : return ( random . random ( ) * 2 - 1 )
The function computes the similarity score for the given commit
The function computes the similarity score for the given commit
"""
    The function computes the similarity score for the given commit
    """ # model = load_model(model_name) # compute the actual value here # value = model.predict(commit_features)
model_name
str
candidate
Commit