retrieve_idf_weighted_word_embeddings

lambda_function.py

    obj = client.get_object(Bucket='data-science-wine-reviews', Key='word_vectors_idf.csv')
    wine_df = pd.read_csv(obj['Body'])
    wine_df.set_index(['word'], inplace=True)

    word_vectors = []
    for p in payload:
        word_vector_string = wine_df.at[p, 'word_vec_idf']
        word_vector_string = word_vector_string.replace('[', '').replace(r'\n', '').replace(']', '')
        word_vector = np.fromstring(word_vector_string, dtype=float, sep='  ')
        word_vectors.append(word_vector)