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로우코드 AI
book

로우코드 AI

by 궨덜린 스트리플링, 마이클 아벨, 박찬성
December 2024
Beginner to intermediate
336 pages
7h 41m
Korean
Hanbit Media, Inc.
Content preview from 로우코드 AI
286
로우코드 AI
음 코드를 추가하고 실행하여 하이퍼파라미터 튜닝을 수행하고, 최적의 후보 모델을 찾습니다.
grid_search.fit(X_train, y_train)
print(grid_search.best_params_)
추가된 두 번째 줄은 최적의 후보 모델에 대한 하이퍼파라미터를 출력합니다. 하이퍼파라미터
튜닝 과정은 구글 코랩에서
35
~
40
분 정도 소요됩니다. 샘플링 과정의 임의성에 따라 정확한
결과는 다를 수 있지만, 다음과 비슷한 결과를 볼 수 있습니다.
{'col_transformer__bucket_cond__n_bins': 11,
'col_transformer__bucket_odo__n_bins': 12,
'col_transformer__bucket_year__n_bins': 11,
'col_transformer__ohe__min_frequency': 1}
검증 데이터셋에 대해 가장 좋은 모델의 성능을 확인할 수 있으므로 이전 모델과 성능을 비교
할 수 있습니다. 신규 셀에 다음 코드를 실행하여 격자 탐색에서 최적의 모델에 대한
RMSE
출력합니다.
# 검증용 데이터셋을 불러옵니다(이미 불러왔더라도 확인차 다시 불러옵니다).
y_valid = valid_df['sellingprice']
X_valid = valid_df.drop('sellingprice', ...
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Publisher Resources

ISBN: 9791169213301