aboutsummaryrefslogtreecommitdiff
path: root/test
diff options
context:
space:
mode:
authorGertjan van den Burg <gertjanvandenburg@gmail.com>2019-05-17 15:17:32 -0400
committerGertjan van den Burg <gertjanvandenburg@gmail.com>2019-05-17 15:17:32 -0400
commitad5b0a7800518baf4ac450257d045e5fa2e735d0 (patch)
treef16b60a75ffa60026e1b165a7a216db02442c0bb /test
parentupdate version (diff)
downloadpygensvm-ad5b0a7800518baf4ac450257d045e5fa2e735d0.tar.gz
pygensvm-ad5b0a7800518baf4ac450257d045e5fa2e735d0.zip
bugfix for predict with gamma = 'auto'
Diffstat (limited to 'test')
-rw-r--r--test/test_core.py17
1 files changed, 17 insertions, 0 deletions
diff --git a/test/test_core.py b/test/test_core.py
index 0a1042a..63c172d 100644
--- a/test/test_core.py
+++ b/test/test_core.py
@@ -197,6 +197,23 @@ class GenSVMTestCase(unittest.TestCase):
set(pred).issubset(set(["versicolor", "virginica", "setosa"]))
)
+ def test_fit_nonlinear_auto(self):
+ """ GENSVM: Fit and predict with nonlinear kernel """
+ data = load_iris()
+ X = data.data
+ y = data.target_names[data.target]
+
+ X_train, X_test, y_train, y_test = train_test_split(
+ X, y, random_state=123
+ )
+ clf = GenSVM(kernel="rbf", max_iter=1000, random_state=123)
+ clf.fit(X_train, y_train)
+
+ pred = clf.predict(X_test, trainX=X_train)
+ self.assertTrue(
+ set(pred).issubset(set(["versicolor", "virginica", "setosa"]))
+ )
+
def test_fit_with_seed(self):
""" GENSVM: Test fit with seeding """