This has been a strong start to 2026 for the game in England, evidenced last week by Hull KR’s triumph over Brisbane Broncos in the World Club Challenge. It is handy for Super League that the Robins are one of two clubs in Vegas representing the competition this week and they have even flown the trophy over to hammer home the point that Super League holds the cards when it comes to the best club side in the game.
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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。同城约会是该领域的重要参考
"self_check": ["lint", "typecheck", "关键场景手测"]
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