CuratedDatasets

This package contains routines to load selected datasets from OpenML and UCI repositories. It takes care of preprocessing/filtering the data and serving them as DataFrame or Matrix. The median pairwise euclidean distance between data points has also been pre-computed for these selected datasets.

Usage

Use using CuratedDatasets. UCIData being an optional dependency, in order to load UCI datasets one needs to additionally manually run using UCIData.

Main method:

• X, y = load_dataset([T,] dataset_name) where T can be either Matrix (default if omitted, X is then d×n but the keyword argument transpose_X=false can be used if needed) or DataFrame (X has then n rows). By default, both X and y will be normalized. This can be avoided by setting the keyword arguments standardize_X, standardize_y to false.

Additional methods:

• median_pairwise_Euclidean: median value of pairwise inter-point Euclidean distance (precomputed on a random subset).
• median_pairwise_Euclidean_standardized: same as above but for standardized data (precomputed on a random subset).

Supported Datasets