fix documentation

Author: Florian Gardin

examples/plot_credit_default.py

@@ -149,7 +149,7 @@
 # fit the model
 
 clf = SkopeRules(
-    similarity_thres=.8, max_depth=3, max_features=0.5,
+    max_depth_duplication=3, max_depth=3, max_features=0.5,
     max_samples_features=0.5, random_state=rng, n_estimators=20,
     feature_names=feature_names, recall_min=0.04, precision_min=0.6)
 clf.fit(X_train, y_train)

skrules/tests/test_skope_rules.py

@@ -141,6 +141,22 @@ def test_skope_rules_works():
     assert_array_equal(pred, 6 * [0] + 2 * [1])
     assert_array_equal(pred_score_top_rules, 6 * [0] + 2 * [1])
 
+def test_deduplication_works():
+    # toy sample (the last two samples are outliers)
+    X = [[-2, -1], [-1, -1], [-1, -2], [1, 1], [1, 2], [2, 1], [6, 3], [4, -7]]
+    y = [0] * 6 + [1] * 2
+    X_test = [[-2, -1], [-1, -1], [-1, -2], [1, 1], [1, 2], [2, 1],
+              [10, 5], [5, -7]]
+    # Test LOF
+    clf = SkopeRules(random_state=rng, max_samples=1., max_depth_duplication=3)
+    clf.fit(X, y)
+    decision_func = clf.decision_function(X_test)
+    rules_vote = clf.rules_vote(X_test)
+    score_top_rules = clf.score_top_rules(X_test)
+    pred = clf.predict(X_test)
+    pred_score_top_rules = clf.predict_top_rules(X_test,1)
+
+
 def test_performances():
     X, y = make_blobs(n_samples=1000, random_state=0, centers=2)