def __init__(self, maker, params, recalculate):
the_fold = maker.get_param(params, 'f')
hp = maker.get_param(params, 'hp')
num_states = maker.get_param(params, 'ns')
max_iter = maker.get_param(params, 'mx')
which_obj = maker.get_param(params, 'wob')
which_infer = maker.get_param(params, 'wif')
which_reg = maker.get_param(params, 'wreg')
self.hp = hp
self.the_fold = the_fold
training_list = self.the_fold.get_training_names()
testing_list = self.the_fold.get_testing_names()
import _test
try:
self.theta = _test.get_theta_given_training_data_and_hypers(maker, params, recalculate, num_states, max_iter, which_obj, which_reg, which_infer, training_list)
if len(self.theta) == 0:
raise Exception("couldn't train")
self.results = _test.get_results_given_testing_data_and_theta(maker, params, recalculate, self.theta, which_infer, testing_list, num_states)
if len(self.results.scores) == 0:
raise Exception("couldn't test")
except Exception as e:
print e
self.set_faulty()
else:
self.set_not_faulty()
