Custom implementations of classification algorithms, including k-nearest neighbors for binary and multi-class problems, a perceptron for binary classification, and a one-vs-rest strategy for extending ...

While regression models are suitable for these learning tasks, these labels are often discretized into binary classes to formulate the problem as a conventional classification task (e.g., classes with ...

Here is some example usage on creating and using a BinaryReader to read a small part of the DDS header: In addition to reading, you can also write to a new buffer: ...