OWManifoldLearning: Re-add chebyshev and jaccard distance to t-SNE

Orange/widgets/unsupervised/owmanifoldlearning.py

@@ -88,11 +88,9 @@ def __radio_parameter_update(self, name):
 
 
 class TSNEParametersEditor(ManifoldParametersEditor):
-    _metrics = ("manhattan", "chebyshev")
+    _metrics = ("euclidean", "manhattan", "chebyshev", "jaccard")
     metric_index = Setting(0)
     metric_values = [(x, x.capitalize()) for x in _metrics]
-    # rename l2 to Euclidean
-    metric_values = [("l2", "Euclidean")] + metric_values
 
     perplexity = Setting(30)
     early_exaggeration = Setting(12)

Orange/widgets/unsupervised/tests/test_owmanifoldlearning.py

@@ -85,6 +85,25 @@ def __callback():
             self.widget.manifold_methods_combo, callback=__callback,
         )
 
+    def test_metrics(self):
+        # Select t-SNE method, which is the only method that supports metrics
+        simulate.combobox_activate_item(self.widget.manifold_methods_combo, "t-SNE")
+
+        def __callback():
+            # Send data to input
+            self.send_signal(self.widget.Inputs.data, self.iris)
+            self.widget.apply_button.button.click()
+            self.assertFalse(self.widget.Error.manifold_error.is_shown())
+
+            # Clear input
+            self.send_signal(self.widget.Inputs.data, None)
+            self.widget.apply_button.button.click()
+            self.assertFalse(self.widget.Error.manifold_error.is_shown())
+
+        simulate.combobox_run_through_all(
+            self.widget.tsne_editor.metric_combo, callback=__callback,
+        )
+
     @skip
     def test_singular_matrices(self):
         """

conda-recipe/meta.yaml

@@ -51,7 +51,7 @@ requirements:
     - commonmark
     - serverfiles
     - matplotlib    >=2.0.0
-    - fasttsne      >=0.2.9
+    - fasttsne      >=0.2.10
 
 test:
   # Python imports

requirements-core.txt

@@ -16,4 +16,4 @@ serverfiles		# for Data Sets synchronization
 networkx
 python-louvain
 requests
-fastTSNE>=0.2.9
+fastTSNE>=0.2.10