But that’s unironically a good idea so I decided to try and do it anyways. With the use of agents, I am now developing rustlearn (extreme placeholder name), a Rust crate that implements not only the fast implementations of the standard machine learning algorithms such as logistic regression and k-means clustering, but also includes the fast implementations of the algorithms above: the same three step pipeline I describe above still works even with the more simple algorithms to beat scikit-learn’s implementations. This crate can therefore receive Python bindings and even expand to the Web/JavaScript and beyond. This also gives me the oppertunity to add quality-of-life features to resolve grievances I’ve had to work around as a data scientist, such as model serialization and native integration with pandas/polars DataFrames. I hope this use case is considered to be more practical and complex than making a ball physics terminal app.
‘The professional game must evolve if it is to thrive’
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办好中国的事情关键在党。改革开放以来,8亿多人摆脱贫困,我国强化中央统筹、省负总责、市县乡抓落实的工作机制,压紧压实各级党委和政府的责任,构建五级书记抓扶贫、抓巩固成果的有效机制。仅脱贫攻坚期间,全国就累计选派300多万名第一书记和驻村干部,他们同近200万名乡镇干部和数百万村干部扎根一线、苦干实干。,更多细节参见Line官方版本下载
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