def config(self, elems):
config = self.parameter_defaults(
top_k=100,
min_time=0,
seed=0,
out_file=None,
filters=[],
loggers=[],
)
model = rs.TransitionProbabilityModel()
updater = rs.TransitionProbabilityModelUpdater(
**self.parameter_defaults(filter_freq_updates=False,
mode_="normal",
label_transition_mode_=False,
label_file_name_=""))
updater.set_model(model)
learner = rs.SimpleLearner()
learner.add_simple_updater(updater)
learner.set_model(model)
model = model
learner = learner
filters = [model]
return {'config': config, 'model': model, 'learner': learner}
def _config(self, top_k, seed):
model = rs.TransitionProbabilityModel()
updater = rs.TransitionProbabilityModelUpdater(
**self.parameter_defaults(filter_freq_updates=False,
mode_="normal",
label_transition_mode_=False,
label_file_name_=""))
updater.set_model(model)
return (model, updater, [model], [])
