dataeval.extractors¶

Feature extractors that transform input data into arrays.

All extractors implement the FeatureExtractor protocol (__call__(data) -> Array) and can be used standalone or passed to Embeddings for batching, caching, and memory-mapped storage.

Classes¶

`BoVWExtractor`	Computes Bag of Visual Words histograms using SIFT keypoints.
`ClassifierUncertaintyExtractor`	Computes prediction entropy from a classification model for drift detection.
`FlattenExtractor`	Simple NumPy-based feature extractor that flattens images to 1D vectors.
`OnnxExtractor`	Extracts embeddings via ONNX Runtime with lazy model loading.
`TorchExtractor`	Extracts embeddings from a PyTorch model, with optional intermediate layer hooking.