def score(self, X, y): """The mean accuracy on the given data and labels Parameters ---------- X : array-like, shape = [n_samples, n_features] Test samples. y : array-like, shape = [n_samples,] Test labels. Returns ------- score : float Mean accuracy score """ return accuracy_score(y, self.predict(X))
def score(self, X, y): from dask_glm.utils import accuracy_score X = self._input_to_dask_cupy_array(X) y = self._input_to_dask_cupy_array(y) return accuracy_score(y, self.predict(X))