由rémi coulon实现的整个历史评级算法的python实现（基于https://github.com/goshrine/whole_history戋rating上的ruby实现）
whole-history-rating的Python项目详细描述
整体历史评分
从r_micoulon的全历史评级（whr）算法的ruby实现中进行的python转换。
原始代码可以找到here
安装
pip install whole_history_rating
用法
from whr import whole_history_rating
whr = whole_history_rating.Base()
# Base.create_game() arguments: black player name, white player name, winner, day number, handicap
# Handicap should generally be less than 500 elo
whr.create_game("shusaku", "shusai", "B", 1, 0)
whr.create_game("shusaku", "shusai", "W", 2, 0)
whr.create_game("shusaku", "shusai", "W", 3, 0)
# Iterate the WHR algorithm towards convergence with more players/games, more iterations are needed.
whr.iterate(50)
# Or let the module iterate until the elo is stable (precision by default 10E-3) with a time limit of 10 seconds by default
whr.auto_iterate(time_limit = 10, precision = 10E-3)
# Results are stored in one triplet for each day: [day_number, elo_rating, uncertainty]
whr.ratings_for_player("shusaku") =>
[[1, -43, 84],
[2, -45, 84],
[3, -45, 84]]
whr.ratings_for_player("shusai") =>
[[1, 43, 84],
[2, 45, 84],
[3, 45, 84]]
# You can print or get all ratings ordered
whr.print_ordered_ratings()
whr.get_ordered_ratings()
# You can get a prediction for a future game between two players (even non existing players)
# Base.probability_future_match() arguments: black player name, white player name, handicap
whr.probability_future_match("shusaku", "shusai",0) =>
win probability: shusaku:37.24%; shusai:62.76%
# You can load several games all together using a file or a list of string representing the game
# all elements in list must be like: "black_name white_name winner time_step handicap extras"
# you can exclude handicap (default=0) and extras (default={})
whr.load_games(["shusaku shusai B 1 0", "shusaku shusai W 2", "shusaku shusai W 3 0"])
whr.load_games(["firstname1 name1, firstname2 name2, W, 1"], separator=",")
# You can save and load a base (you don't have to redo all iterations)
whr.save_base(path)
whr2 = whole_history_rating.Base.load_base(path)
可选配置
whr的一个元参数是一个时间步长上的评分变化方差，：w2，
它决定了一个玩家的等级在一天内有多大的变化。数字越高，进步越快。
默认值为300，相当高。
r_mi coulon在他的论文中，用w2=14得到了他的results
whr = whole_history_rating.Base({'w2':14})
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