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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.
經歷了接近半年時間的監禁,對關恆來說,這也加深了他對自由的感受。關恆說,過去在中國的時候,「我只是覺得被關到監獄、失去去自由其實是一個非常可怕的事情,但是具體有多可怕,我感受不到,我也不能完全想象到。」直到第一次真切地感受到失去人身自由之後,他才更意識到自由的重要性。