autoqild.dataset_readers

The dataset_readers package provides utilities for reading OpenML datasets, generating synthetic data, both distance-based and traditional, for testing and evaluation purposes.

Modules

open_ml_padding_dr	Reader for OpenML datasets applying padding strategies to analyze data leakage.
open_ml_timming_dr	Reader for OpenML datasets focusing on timing features for data leakage analysis.
synthetic_data_generator	Generates synthetic datasets with introducing noise by flipping certain percentage of labels for testing and evaluating machine learning models.
synthetic_data_generator_distance	Generates synthetic datasets by instroducing noise with reducing the distance between gaussians of each class, simulating different distributions.
utils	Provides utility functions for dataset handling, operations, and preprocessing.