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fix naming of top_k_per_candidate

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Malte Pietsch 2020-02-28 18:27:36 +01:00
parent b023047bcf
commit a0cfd16b0c
1 changed files with 2 additions and 2 deletions
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haystack/reader/farm.py
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@ -68,7 +68,7 @@ class FARMReader:
self.return_no_answers = False self.return_no_answers = False
else: else:
self.return_no_answers = True self.return_no_answers = True
self.n_candidates_per_paragraph = top_k_per_candidate self.top_k_per_candidate = top_k_per_candidate
self.inferencer = Inferencer.load(model_name_or_path, batch_size=batch_size, gpu=use_gpu, task_type="question_answering") self.inferencer = Inferencer.load(model_name_or_path, batch_size=batch_size, gpu=use_gpu, task_type="question_answering")
self.inferencer.model.prediction_heads[0].context_window_size = context_window_size self.inferencer.model.prediction_heads[0].context_window_size = context_window_size
self.inferencer.model.prediction_heads[0].no_ans_boost = no_ans_boost self.inferencer.model.prediction_heads[0].no_ans_boost = no_ans_boost
@ -235,7 +235,7 @@ class FARMReader:
if a["score"] > best_score_answer: if a["score"] > best_score_answer:
best_score_answer = a["score"] best_score_answer = a["score"]
# only take n best candidates. Answers coming back from FARM are sorted with decreasing relevance. # only take n best candidates. Answers coming back from FARM are sorted with decreasing relevance.
answers += answers_per_paragraph[:self.n_candidates_per_paragraph] answers += answers_per_paragraph[:self.top_k_per_candidate]
# Calculate the score for predicting "no answer", relative to our best positive answer score # Calculate the score for predicting "no answer", relative to our best positive answer score
no_ans_prediction, max_no_ans_gap = self._calc_no_answer(no_ans_gaps,best_score_answer) no_ans_prediction, max_no_ans_gap = self._calc_no_answer(no_ans_gaps,best_score_answer)