diff --git a/pyFTS/benchmarks/knn.py b/pyFTS/benchmarks/knn.py
index ca3ac5c..e51ba18 100644
--- a/pyFTS/benchmarks/knn.py
+++ b/pyFTS/benchmarks/knn.py
@@ -58,12 +58,12 @@ class KNearestNeighbors(fts.FTS):
     def train(self, data, **kwargs):
         X,Y = self._prepare_xy(data)
 
-        self.kdtree = KDTree(X)
+        self.kdtree = KDTree(np.array(X))
         self.values = Y
 
     def knn(self, sample):
         X = self._prepare_x(sample)
-        _, ix = self.kdtree.query(X, self.k)
+        _, ix = self.kdtree.query(np.array(X), self.k)
 
         return [self.values[k] for k in ix.flatten() ]
 
diff --git a/pyFTS/tests/general.py b/pyFTS/tests/general.py
index 091e2b6..2799453 100644
--- a/pyFTS/tests/general.py
+++ b/pyFTS/tests/general.py
@@ -19,7 +19,7 @@ from pyFTS.fcm import fts, common, GA
 
 from pyFTS.data import TAIEX, NASDAQ, SP500
 
-'''
+#'''
 train = TAIEX.get_data()[:800]
 test = TAIEX.get_data()[800:1000]
 
@@ -61,19 +61,19 @@ methods_parameters = [
     {'order':2 }
 ]
 
-#for dataset_name, dataset in datasets.items():
-bchmk.sliding_window_benchmarks2(TAIEX.get_data()[:5000], 1000, train=0.8, inc=0.2,
-                                 benchmark_models=False,
-                                 benchmark_methods=methods,
-                                 benchmark_methods_parameters=methods_parameters,
-                                 methods=[ifts.IntervalFTS, ifts.WeightedIntervalFTS],
-                                 methods_parameters=[{},{}],
-                                 transformations=[None],
-                                 orders=[1,2,3],
-                                 steps_ahead=[10],
-                                 partitions=[33],
-                                 type='interval',
-                                 #distributed=True, nodes=['192.168.0.110', '192.168.0.107','192.168.0.106'],
-                                 #file="tmp.db", dataset=dataset_name, tag="experiments")
-                                file="tmp.db", dataset='TAIEX', tag="experiments")
-#'''
\ No newline at end of file
+for dataset_name, dataset in datasets.items():
+    bchmk.sliding_window_benchmarks2(dataset, 1000, train=0.8, inc=0.2,
+                                     benchmark_models=True,
+                                     benchmark_methods=methods,
+                                     benchmark_methods_parameters=methods_parameters,
+                                     methods=[],
+                                     methods_parameters=[{},{}],
+                                     transformations=[None],
+                                     orders=[],
+                                     steps_ahead=[10],
+                                     partitions=[],
+                                     type='distribution',
+                                     distributed=True, nodes=['192.168.0.110', '192.168.0.107','192.168.0.106'],
+                                     file="experiments.db", dataset=dataset_name, tag="experiments")
+#                                file="tmp.db", dataset='TAIEX', tag="experiments")
+'''
\ No newline at end of file