def train(self, text):
""" Train the spell corrector with the given corpus.
:param text: training corpus
:type text: str
"""
raise ce.NotImplementedException()
def savemodel(self, nameprefix):
""" Save the model to files.
This is an abstract method of this abstract class, which raise the `NotImplementedException`.
:param nameprefix: prefix of the paths of the model files
:return: None
:raise: NotImplementedException
:type nameprefix: str
"""
raise e.NotImplementedException()
def get_batch_cos_similarities(self, shorttext):
""" Calculate the cosine similarities of the given short text and all the class labels.
This is an abstract method of this abstract class, which raise the `NotImplementedException`.
:param shorttext: short text
:return: topic vector
:raise: NotImplementedException
:type shorttext: str
:rtype: numpy.ndarray
"""
raise e.NotImplementedException()
def retrieve_topicvec(self, shorttext):
""" Calculate the topic vector representation of the short text.
This is an abstract method of this abstract class, which raise the `NotImplementedException`.
:param shorttext: short text
:return: topic vector
:raise: NotImplementedException
:type shorttext: str
:rtype: numpy.ndarray
"""
raise e.NotImplementedException()
def train(self, classdict, *args, **kwargs):
""" Train the stacked generalization.
Not implemented. `NotImplemntedException` raised.
:param classdict: training data
:param args: arguments to be parsed
:param kwargs: arguments to be parsed
:return: None
:type classdict: dict
:type args: dict
:type kwargs: dict
:raise: NotImplementedException
"""
raise e.NotImplementedException()
def score(self, shorttext, *args, **kwargs):
""" Calculate the scores for each class labels.
Not implemented. `NotImplemntedException` raised.
:param shorttext: short text to be scored
:param args: arguments to be parsed
:param kwargs: arguments to be parsed
:return: dictionary of scores for all class labels
:type shorttext: str
:type args: dict
:type kwargs: dict
:rtype: dict
:raise: NotImplementedException
"""
raise e.NotImplementedException()
def train(self, classdict, nb_topics, *args, **kwargs):
""" Train the modeler.
This is an abstract method of this abstract class, which raise the `NotImplementedException`.
:param classdict: training data
:param nb_topics: number of latent topics
:param args: arguments to be passed into the wrapped training functions
:param kwargs: arguments to be passed into the wrapped training functions
:return: None
:raise: NotImplementedException
:type classdict: dict
:type nb_topics: int
"""
self.nb_topics = nb_topics
raise e.NotImplementedException()
def train(self, text):
raise ce.NotImplementedException()
