alibi_detect.utils.fetching package
- alibi_detect.utils.fetching.fetch_detector(filepath, detector_type, dataset, detector_name, model=None)[source]
Fetch an outlier or adversarial detector from a google bucket, save it locally and return the initialised detector.
- Parameters:
filepath (
Union[str,PathLike]) – Local directory to save detector to.detector_type (
str) – outlier or adversarial.dataset (
str) – Dataset of pre-trained detector. E.g. kddcup, cifar10 or ecg.detector_name (
str) – Name of the detector in the bucket.model (
Optional[str]) – Classification model used for adversarial detection.
- Return type:
Union[BaseDetector,AdversarialAE,ModelDistillation,IForest,LLR,Mahalanobis,OutlierAEGMM,OutlierAE,OutlierProphet,OutlierSeq2Seq,OutlierVAE,OutlierVAEGMM,SpectralResidual]- Returns:
Initialised pre-trained detector.
- alibi_detect.utils.fetching.fetch_tf_model(dataset, model)[source]
Fetch pretrained tensorflow models from the google cloud bucket.