Slay-I

模组简介

Slay-I Slay-I uses a machine learning model trained on over 325, 000 fights to 1. Predict how much damage you will take in a fight 2. Evaluate adding, upgrading and removing cards from your deck according to average damage reduced in a fight For more information on how the AI works, check out the article I wrote up on Medium . Machine Learning Slay-I was trained on over 325, 000 fights from Spire Logs and Jorbs . If you're interested in learning more about how the machine learning model works, checkout the Google Colab notebook and train it yourself! Card Evaluation Cards are evaluated based on the average damage reduced in a fight by taking the card. This average is calculated against your current act and next act independently. The calculation is an average between damage saved in boss(es), elites, and hard hallway fights, weighted more heavily towards fights that do more damage. A percentile ranking is also calculated that compares a card against all the cards in a character's card pool. Percentiles are computed on a scale of 1 to 100. A card that is ranked in the 75th percentile is better than 75% of cards and a card in the 10th percentile is better than 10% of cards (aka is really bad). Accuracy Slay-I is generally within +/- 7 HP of how much damage you will take in a fight. For adding, removing, and upgrading cards, the score is the average damage saved in a fight. The model isn't perfect, but it does a pretty good job at evaluating cards! Only Base Game Characters and Content Because the only data available to train the machine learning model with is from base game characters, the mod is only compatible with base game cards, relics and enemies (aka. Ironclad, Silent, Defect, and Watcher)

条目信息

所属游戏

杀戮尖塔 (Slay the Spire)

创意工坊 ID

2157144906

文件名

2157144906.bin

文件大小

137.1 MB

最后更新

2020/07/22

内容版本

v1595396439-2fc00b9a3d3e060f

作者与来源

由原作者发布于 Steam 创意工坊。本站不改变署名，作者信息与原始内容请以 Steam 原始页面 为准。