def test_scoring_string(scheduler, xy_classification, scoring):
X, y = xy_classification
with scheduler() as (s, [a, b]):
clf = Incremental(SGDClassifier(tol=1e-3), scoring=scoring)
if scoring:
assert (dask_ml.metrics.scorer.SCORERS[scoring] == check_scoring(
clf, scoring=scoring))
assert callable(check_scoring(clf, scoring=scoring))
clf.fit(X, y, classes=np.unique(y))
clf.score(X, y)
def test_scoring_string(scheduler, xy_classification, scoring):
X, y = xy_classification
with scheduler() as (s, [a, b]):
clf = Incremental(SGDClassifier(tol=1e-3), scoring=scoring)
assert callable(check_scoring(clf, scoring=scoring))
clf.fit(X, y, classes=np.unique(y))
clf.score(X, y)
