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))
