文件列表:

ars-headline-tests-no-filter.csv (1900243, 2021-07-21)
container_serving (0, 2021-07-21)
container_serving\inference.py (2845, 2021-07-21)
container_serving\requirements.txt (68, 2021-07-21)
container_training (0, 2021-07-21)
container_training\train.py (6531, 2021-07-21)
container_training\train_gpt.py (6397, 2021-07-21)
headline_class.ipynb (78700, 2021-07-21)

# arsheadlines This repository contains some of the work product for a series written for Ars Technica on applying machine learning using AWS SageMaker to the problem of predicting which headline from a pair will get more clicks. ars-headline-tests-nofilter.csv contains the headline pairs, their click rates during the test period, and the certainty of the test based on Ars' existing headline selection test algorithm.

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