Namespace AiDotNet.Augmentation.Tabular
Classes
- FeatureDropout<T>
Randomly masks (sets to zero) features in tabular data.
- FeatureNoise<T>
Adds Gaussian noise to numerical features in tabular data.
- RowShuffle<T>
Shuffles rows within a batch of tabular data.
- SmoteAugmenter<T>
Implements SMOTE (Synthetic Minority Over-sampling Technique) for imbalanced datasets.
- TabularAugmenterBase<T>
Base class for tabular data augmentations.
- TabularMixUp<T>
Applies MixUp augmentation to tabular data by linearly interpolating between samples.
- TabularMixingAugmenterBase<T>
Base class for tabular augmentations that mix multiple samples together.