Source code for

from sklearn.base import BaseEstimator, TransformerMixin

class Annotator(TransformerMixin, BaseEstimator):
    """Annotator class for all annotators. This class is meant to be used in
    conjunction with the bob bio annotate script or to be used in pipelines.

[docs] def transform(self, samples, **kwargs): """Annotates a sample and returns annotations in a dictionary. Parameters ---------- samples : numpy.ndarray The samples that are being annotated. **kwargs The extra arguments that may be passed. Returns ------- dict A dictionary containing the annotations of the biometric sample. If the program fails to annotate the sample, it should return an empty dictionary. """ raise NotImplementedError
# Alias call to transform def __call__(self, samples, **kwargs): return self.transform(samples, **kwargs)