Source code for asreview.models.feature_extraction.utils

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from asreview.utils import list_model_names
from asreview.utils import _model_class_from_entry_point


[docs]def list_feature_extraction(): """List available feature extraction methods. Returns ------- list: Names of available feature extraction methods in alphabetical order. """ return list_model_names(entry_name="asreview.models.feature_extraction")
[docs]def get_feature_class(name): """Get class of feature extraction from string. Arguments --------- name: str Name of the feature model, e.g. 'doc2vec', 'tfidf' or 'embedding-lstm'. Returns ------- BaseFeatureExtraction: Class corresponding to the name. """ return _model_class_from_entry_point(name, "asreview.models.feature_extraction")
[docs]def get_feature_model(name, *args, random_state=None, **kwargs): """Get an instance of a feature extraction model from a string. Arguments --------- name: str Name of the feature extraction model. *args: Arguments for the feature extraction model. **kwargs: Keyword arguments for thefeature extraction model. Returns ------- BaseFeatureExtraction: Initialized instance of feature extraction algorithm. """ model_class = get_feature_class(name) try: return model_class(*args, random_state=random_state, **kwargs) except TypeError: return model_class(*args, **kwargs)