def __init__(self, recommender_data):
self.data = recommender_data
self._recommendations = None
self.method = 'Base'
#if not hasattr(self.data, 'test'):
# print 'Submitted data is unprepared. Processing...'
# self.data.prepare()
self._topk = defaults.get_config(['topk'])['topk']
self.filter_seen = defaults.get_config(['filter_seen'])['filter_seen']
self.switch_positive = defaults.get_config(['switch_positive'])['switch_positive']
self.predict_negative = defaults.get_config(['predict_negative'])['predict_negative']
def __init__(self, recommender_data):
self.data = recommender_data
self._recommendations = None
self.method = 'Base'
#if not hasattr(self.data, 'test'):
# print 'Submitted data is unprepared. Processing...'
# self.data.prepare()
self._topk = defaults.get_config(['topk'])['topk']
self.filter_seen = defaults.get_config(['filter_seen'])['filter_seen']
self.switch_positive = defaults.get_config(['switch_positive'
])['switch_positive']
self.predict_negative = defaults.get_config(['predict_negative'
])['predict_negative']
def _set_defaults(self, params=None):
# [1:] omits undersacores in properties names
params = params or [prop[1:] for prop in self._config]
config_vals = defaults.get_config(params)
for name, value in config_vals.items():
internal_name = '_{}'.format(name)
setattr(self, internal_name, value)
def _set_defaults(self, params=None):
#[1:] omits undersacores in properties names
params = params or [prop[1:] for prop in self._config]
config_vals = defaults.get_config(params)
for name, value in config_vals.iteritems():
internal_name = '_{}'.format(name)
setattr(self, internal_name, value)
def get_default(name):
return defaults.get_config([name])[name]
def default_configuration(cls):
params = [prop[1:] for prop in cls._config]
return defaults.get_config(params)