example_explainer.py

class ExampleExplainer:
    """Class to explain classification results.
       The `predict` method outputs a numpy array of floats, which
       is the classifier's prediction probability for each class.
    """
    def __init__(self, path_to_model: str) -> None:
        # Load in a trained classifier model
        
    def predict(self, texts: List[str]) -> np.array([float, ...]):
        # Take in a list of strings (LIME text sample of variations)
        ...
        # Output class probabilities as a numpy array
        return np.array(predict_proba)