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.
Here's the equivalent with the new API:，这一点在一键获取谷歌浏览器下载中也有详细论述
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（二）境外单位或者个人销售的服务、无形资产与境内的货物、不动产、自然资源直接相关；
相关阅读：4900 万人围观的 Claude Cowork 又杀疯了，10 个顶级外挂上线，这些打工人危，推荐阅读Line官方版本下载获取更多信息
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