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.
All containers are prefixed px- internally. Commands accept bare names (e.g., mybox becomes px-mybox).
，这一点在51吃瓜中也有详细论述
Before diving into API design, it's worth asking: what is a stream?
這位在加州出生、由美國父親與中國母親撫養長大的運動員，曾就讀舊金山私立學校，目前正從斯坦福大學暫停學業休假。