def __evaluate_derived_cost(self):
thread_manager = ThreadManager(1)
for theta_index in range(len(self.__theta)):
thread_manager.attach(derived_cost,
(theta_index, self.__y, self.__x,
self.__theta, self.__predict))
return thread_manager.execute_all()
def minibatch_error_evaluation_function(y,
x,
theta,
prediction_function,
percentage_to_evaluate=0.3):
setsize = math.floor(len(y) * percentage_to_evaluate)
thread_manager = ThreadManager(1)
for i in range(setsize):
thread_manager.attach(evaluate_error,
(y[i], x[i], theta, prediction_function))
errors = thread_manager.execute_all()
error = sum(errors) / setsize
return error
