Python load_final_pipe 예제들

예제 #1

파일: run_track_predictions.py 프로젝트: weso-edma/hercules-challenge-protocols

def main(args):
    logger.info('Reading track dataset...')
    protocols_df = pd.read_pickle(PROTOCOLS_FILE_PATH)
    logger.info('Loading topic extraction model...')
    final_pipe = load_final_pipe()
    protocols = protocols_df['full_text_cleaned'].values
    logger.info('Predicting topics...')
    topics = final_pipe.transform(protocols)
    logger.info('Writting results...')
    show_results(protocols_df, protocols, topics, args.output, args.format)

예제 #2

파일: run_track_predictions.py 프로젝트: weso-edma/hercules-challenge-git

def main(args):
    logger.info('Reading track dataset...')
    git_df = pd.read_pickle(GIT_FILE_PATH)
    logger.info('Loading topic extraction model...')
    final_pipe = load_final_pipe()
    repos = git_df['full_text_cleaned'].values
    logger.info('Predicting topics...')
    topics = final_pipe.transform(repos)
    logger.info('Writting results...')
    show_results(git_df, repos, topics, args.output, args.format)

예제 #3

파일: obtain_track_author_topics.py 프로젝트: weso-edma/hercules-challenge-publications

def main(args):
    logger.info('Reading track dataset...')
    pmc_df = pd.read_pickle(PMC_FILE_PATH)
    logger.info('Loading topic extraction model...')
    final_pipe = load_final_pipe()
    articles = pmc_df['text_cleaned'].values
    logger.info('Predicting topics...')
    topics = final_pipe.transform(articles)
    logger.info('Writting results...')
    show_author_results(pmc_df, articles, topics, args.output)

예제 #4

파일: predict_article_topics.py 프로젝트: weso-edma/hercules-challenge-publications

def main(args):
    logger.info('Loading article data...')
    pmc_df = load_articles_df(args.input, args.isFile)
    logger.info('Loading topic extraction model...')
    final_pipe = load_final_pipe()
    articles = pmc_df['text_cleaned'].values
    logger.info('Predicting topics...')
    topics = final_pipe.transform(articles)
    logger.info('Writting results...')
    show_results(pmc_df, articles, topics, args.output, args.format)

예제 #5

파일: predict_repo.py 프로젝트: weso-edma/hercules-challenge-git

def main(args):
    logger.info('Loading repository data...')
    git_df = load_repos_df(args.input, args.isFile, args.token)
    logger.info('Loading topic extraction model...')
    final_pipe = load_final_pipe()
    repos = git_df['full_text_cleaned'].values
    logger.info('Predicting topics...')
    topics = final_pipe.transform(repos)
    logger.info('Writting results...')
    show_results(git_df, repos, topics, args.output, args.format)

예제 #6

파일: predict_protocol.py 프로젝트: weso-edma/hercules-challenge-protocols

def main(args):
    logger.info('Loading protocol data...')
    protocols_df = load_protocols_df(args.input, args.isFile)
    logger.info('Loading topic extraction model...')
    final_pipe = load_final_pipe()
    protocols = protocols_df['full_text_cleaned'].values
    logger.info('Predicting topics...')
    topics = final_pipe.transform(protocols)
    logger.info('Writting results...')
    show_results(protocols_df, protocols, topics, args.output, args.format)