def __init__(self, search_context, qrel_file, host=None, port=None):
self._search_context = search_context
# Default values - set as attributes in the coniguration to change these values.
self.dcg_discount = 0.5
self.patch_type_threshold = 0.6
self.viewport_size = 10
self.novel_snippets_only = False
self._qrel_data_handler = get_data_handler(
filename=qrel_file,
host=host,
port=port,
key_prefix='serpimpressions')
def __init__(self, search_context, topic, viewport_size=10, good_abandon_probability=0.5, bad_abandon_probability=0.5, patch_type_threshold=0.4, qrel_file=None, base_seed=0, host=None, port=0):
super(StochasticSERPImpression, self).__init__(search_context, topic, patch_type_threshold=patch_type_threshold)
self.__viewport_size = viewport_size
self.__good_abandon_probability = good_abandon_probability
self.__bad_abandon_probability = bad_abandon_probability
self._host = host
self._port = port
self._filename = qrel_file
self._data_handler = get_data_handler(filename=self._filename, host=self._host, port=self._port, key_prefix='serp')
self.__random = Random()
self.__random.seed(base_seed + 0) # Just use base_seed for the seed value
def __init__(self, topic, search_context, qrel_file, host=None, port=0):
"""
Initialises an instance of the classifier.
"""
super(BaseInformedTrecTextClassifier,
self).__init__(topic,
search_context,
stopword_file=[],
background_file=[])
self._filename = qrel_file
self._host = host
self._port = port
self._data_handler = get_data_handler(filename=self._filename,
host=self._host,
port=self._port,
key_prefix='informed')
def __init__(self,
search_context,
topic,
viewport_size=10,
patch_type_threshold=0.4,
qrel_file=None,
host=None,
port=0):
super(SimpleSERPImpression,
self).__init__(search_context,
topic,
patch_type_threshold=patch_type_threshold)
self._host = host
self._port = port
self._filename = qrel_file
self.__viewport_size = viewport_size
self._data_handler = get_data_handler(filename=self._filename,
host=self._host,
port=self._port,
key_prefix='serp')