def config(self, elems):
config = self.parameter_defaults(
top_k=100,
min_time=0,
seed=0,
out_file=None,
filters=[],
loggers=[],
)
model = rs.PersonalPopularityModel()
updater = rs.PersonalPopularityModelUpdater()
updater.set_model(model)
simple_learner = rs.SimpleLearner()
simple_learner.add_simple_updater(updater)
simple_learner.set_model(model)
learner = rs.LearnerPeriodicDelayedWrapper(
**self.parameter_defaults(period=86400, delay=86400))
learner.set_wrapped_learner(simple_learner)
model = model
learner = learner
return {'config': config, 'model': model, 'learner': learner}
def config(self, elems):
config = self.parameter_defaults(
top_k=100,
min_time=0,
seed=0,
out_file=None,
filters=[],
loggers=[],
)
model = rs.PersonalPopularityModel()
updater = rs.PersonalPopularityModelUpdater()
updater.set_model(model)
learner = rs.SimpleLearner()
learner.add_simple_updater(updater)
learner.set_model(model)
model = model
learner = learner
return {'config': config, 'model': model, 'learner': learner}
def _config(self, top_k, seed):
model = rs.PersonalPopularityModel()
updater = rs.PersonalPopularityModelUpdater()
updater.set_model(model)
return (model, updater, [])