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最终，我没有投诉爽约的车主。我愿意相信，每位临时变卦的车主，都有身不由己的理由。但我在顺风车App的“意见反馈”板块，认真写下了自己的“囧途”遭遇，还提了两个小建议：一是平台应健全实际载客人数披露机制，接单前提前告知乘客；二是优化爽约约束，对短期内多次取消订单的车主限制接单权限。
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СюжетЗавершение конфликта на Украине
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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.