# I am the Watcher. I am your guide through this vast new twtiverse.
#
# Usage:
# https://watcher.sour.is/api/plain/users View list of users and latest twt date.
# https://watcher.sour.is/api/plain/twt View all twts.
# https://watcher.sour.is/api/plain/mentions?uri=:uri View all mentions for uri.
# https://watcher.sour.is/api/plain/conv/:hash View all twts for a conversation subject.
#
# Options:
# uri Filter to show a specific users twts.
# offset Start index for quey.
# limit Count of items to return (going back in time).
#
# twt range = 1 1
# self = https://watcher.sour.is/conv/mqbganq
機器學習集成方法總結：Bagging- Boosting- Stacking- Voting- Blending
公衆號：尤而小屋 編輯：Peter 作者：Abhay Parashar大家好，我是 Peter~今天給大家介紹機器學習中集成學習的 5 種不同方法：Bagging Boosting Stacking Voting Blending 0、引言----機器學習是人工智能的一個分支領域，致力於構建自動學習和自適應的系統，它利用統計模型來可視化、分析和預測數據 ⌘ Read more~