Code Coverage for nltk.model.api

Untested Functions

• ModelI: __init__(), choose_random_word(), entropy(), generate(), logprob(), prob()

# subclass of ConditionalProbDistI?

class ModelI(object):
    """
    A processing interface for assigning a probability to the next word.
    """

    def __init__(self):
        '''Create a new language model.'''
        raise NotImplementedError()

    def prob(self, word, context):
        '''Evaluate the probability of this word in this context.'''
        raise NotImplementedError()

    def logprob(self, word, context):
        '''Evaluate the log probability of this word in this context.'''
        raise NotImplementedError()

    def choose_random_word(self, context):
        '''Randomly select a word that is likely to appear in this context.'''
        raise NotImplementedError()

    def generate(self, n):
        '''Generate n words of text from the language model.'''
        raise NotImplementedError()

    def entropy(self, text):
        '''Evaluate the total entropy of a message with respect to the model.
        This is the sum of the log probability of each word in the message.'''
        raise NotImplementedError()