def __init__(self, w_vector, max_iter=1):
"""
:param w_vector: A global weight vector instance that stores
the weight value (float)
:param max_iter: Maximum iterations for training the weight vector
Could be overridden by parameter max_iter in the method
:return: None
"""
logging.debug("Initialize AveragePerceptronLearner ... ")
self.w_vector = w_vector
self.max_iter = max_iter
self.weight_sum_dict = mydefaultdict(mydouble)
self.last_change_dict = mydefaultdict(mydouble)
self.c = 1
return
def __init__(self, filename=None):
"""
:param store_type: Specify the type of database you want to use
:type store_type: int
:param filename: The file name of the database file. If you are using
memory_dict then this could be given here or in dump(). However if
you are using shelve or other possible extensions, you must provide
a file name here in order to establish the connection to the database.
:type filename: str
"""
# change to hvector
#self.data_dict = {}
self.data_dict = mydefaultdict(mydouble)
if not filename == None:
self.load(filename)
return
