MLDatasets Docs

This site contains the project documentation for the machine-learning-datasets (mldatasets) project that is a package used in the "Interpretable Machine Learning with Python" book's code.

Table Of Contents

This documentation only has a technical reference to the functionality contained in the library which consists of 5 seperate parts.

1. Config: Dataset loading and configuration functionality.
2. Common: Other utility functionality.
3. Preprocess: Functions used to preprocess tabular data or images.
4. Evaluate: Functions used to evaluate models.
5. Interpret: Functions used to interpret models.
6. Deprecated: Deprecated functionality used only in the first edition of the book.

Quickly find what you're looking for depending on your use case by looking at the different pages.