def select(self, task_ids, student_id, practice_context):
score_computer = CombinedScoreComputer(
criteria=self.CRITERIA_WEIGHTS,
combinator=product,
practice_context=practice_context,
student=student_id)
scored_tasks = score_computer.combined_scores(task_ids)
best_task_id = max(scored_tasks)[1]
return best_task_id
def select(self, task_ids, student_id, practice_context):
score_computer = CombinedScoreComputer(
criteria=self.CRITERIA_WEIGHTS,
combinator=product,
practice_context=practice_context,
student=student_id)
scored_tasks = score_computer.combined_scores(task_ids)
best_task_id = max(scored_tasks)[1]
return best_task_id
def select(self, task_ids, student_id, practice_context):
score_computer = CombinedScoreComputer(
criteria=self.CRITERIA_WEIGHTS,
combinator=product,
practice_context=practice_context,
student=student_id)
scored_tasks = score_computer.combined_scores(task_ids)
#print('Random choice from:', sorted(scored_tasks))
selected_task_id = weighted_choice(scored_tasks)
return selected_task_id
def select(self, task_ids, student_id, practice_context):
score_computer = CombinedScoreComputer(
criteria=self.CRITERIA_WEIGHTS,
combinator=product,
practice_context=practice_context,
student=student_id)
scored_tasks = score_computer.combined_scores(task_ids)
#print('Random choice from:', sorted(scored_tasks))
selected_task_id = weighted_choice(scored_tasks)
return selected_task_id
