ood

Out-of-distribution (OOD)` detectors identify data that is different from the data used to train a particular model.

Detector Classes

OOD_AE(model)	Autoencoder-based out of distribution detector.
OOD_AEGMM(model)	AE with Gaussian Mixture Model based outlier detector.
OOD_LLR(model[, model_background, log_prob, ...])	Likelihood Ratios based outlier detector.
OOD_VAE(model[, samples])	VAE based outlier detector.
OOD_VAEGMM(model[, samples])	VAE with Gaussian Mixture Model based outlier detector.

Output Classes

OODOutput(is_ood, instance_score, feature_score)	Output class for predictions from OOD_AE, OOD_AEGMM, OOD_LLR, OOD_VAE, and OOD_VAEGMM out-of-distribution detectors
OODScoreOutput(instance_score[, feature_score])	Output class for instance and feature scores from OOD_AE, OOD_AEGMM, OOD_LLR, OOD_VAE, and OOD_VAEGMM out-of-distribution detectors