Test of approximate_predict

Author: lmcinnes

.idea/codeStyleSettings.xml

@@ -17,7 +17,12 @@
                                    assert_not_in,
                                    assert_no_warnings,
                                    if_matplotlib)
-from hdbscan import HDBSCAN, hdbscan, validity_index
+from hdbscan import (HDBSCAN,
+                     hdbscan,
+                     validity_index,
+                     approximate_predict,
+                     membership_vector,
+                     all_points_membership_vectors)
 # from sklearn.cluster.tests.common import generate_clustered_data
 from sklearn.datasets import make_blobs
 from sklearn.utils import shuffle
@@ -438,6 +443,14 @@ def test_hdbscan_min_span_tree_availability():
     tree = clusterer.minimum_spanning_tree_
     assert tree is None
 
+def test_hdbscan_approximate_predict():
+    clusterer = HDBSCAN(prediction_data=True).fit(X)
+    cluster, prob = approximate_predict(clusterer, np.array([[-1.5, -1.0]]))
+    assert_equal(cluster, 2)
+    cluster, prob = approximate_predict(clusterer, np.array([[1.5, -1.0]]))
+    assert_equal(cluster, 1)
+    cluster, prob = approximate_predict(clusterer, np.array([[0.0, 0.0]]))
+    assert_equal(cluster, -1)
 
 def test_hdbscan_badargs():
     assert_raises(ValueError,