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.
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现在的民宿，正被酒店和露营进行“上下挤压” 式的冲击，两头不讨好。
This is obviously nowhere near production-ready code or anywhere near the complexity needed to do what Live++ does. For example, the above entirely ignores interactions with a debugger or what happens if a thread is suspended in the middle of a trampoline that's currently being overwritten.。业内人士推荐手游作为进阶阅读
worst part of most papers I read.