Loading deepchem/feat/base_classes.py +4 −2 Original line number Diff line number Diff line Loading @@ -59,15 +59,17 @@ class Featurizer(object): return np.asarray(features) def __call__(self, datapoints: Iterable[Any]): def __call__(self, datapoints: Iterable[Any], **kwargs): """Calculate features for datapoints. `**kwargs` will get passed directly to `Featurizer.featurize` Parameters ---------- datapoints: Iterable[Any] Any blob of data you like. Subclasss should instantiate this. """ return self.featurize(datapoints) return self.featurize(datapoints, **kwargs) def _featurize(self, datapoint: Any, **kwargs): """Calculate features for a single datapoint. Loading Loading
deepchem/feat/base_classes.py +4 −2 Original line number Diff line number Diff line Loading @@ -59,15 +59,17 @@ class Featurizer(object): return np.asarray(features) def __call__(self, datapoints: Iterable[Any]): def __call__(self, datapoints: Iterable[Any], **kwargs): """Calculate features for datapoints. `**kwargs` will get passed directly to `Featurizer.featurize` Parameters ---------- datapoints: Iterable[Any] Any blob of data you like. Subclasss should instantiate this. """ return self.featurize(datapoints) return self.featurize(datapoints, **kwargs) def _featurize(self, datapoint: Any, **kwargs): """Calculate features for a single datapoint. Loading
