Let’s go back to our ORM dependency upgrade.
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.，推荐阅读新收录的资料获取更多信息
一座城市的活力与潜力，关键在于青年。浙江省杭州市萧山区始终秉持“青年需要什么，城市就提供什么；青年向往何处，城市的努力就指向何处”理念，推动青年与城市“双向奔赴”、共创未来。，详情可参考新收录的资料
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