diff --git a/pyFTS/hyperparam/GridSearch.py b/pyFTS/hyperparam/GridSearch.py
index 45de215..5110f54 100644
--- a/pyFTS/hyperparam/GridSearch.py
+++ b/pyFTS/hyperparam/GridSearch.py
@@ -68,6 +68,8 @@ def process_jobs(jobs, datasetname, conn):
                 record = (datasetname, 'GridSearch', 'WHOFTS', None, result['mf'],
                           result['order'], result['partitioner'], result['npart'],
                           result['alpha'], str(result['lags']), metric, metrics[metric])
+                          
+                print(record)
 
                 hUtil.insert_hyperparam(record, conn)
 
diff --git a/pyFTS/models/multivariate/mvfts.py b/pyFTS/models/multivariate/mvfts.py
index 4522e92..cf3ac12 100644
--- a/pyFTS/models/multivariate/mvfts.py
+++ b/pyFTS/models/multivariate/mvfts.py
@@ -38,7 +38,7 @@ class MVFTS(fts.FTS):
     def apply_transformations(self, data, params=None, updateUoD=False, **kwargs):
         ndata = data.copy(deep=True)
         for var in self.explanatory_variables:
-            if self.uod_clip:
+            if self.uod_clip and var.partitioner.type == 'common':
                 ndata[var.data_label] = np.clip(ndata[var.data_label].values,
                                                 var.partitioner.min, var.partitioner.max)
 
diff --git a/pyFTS/tests/hyperparam.py b/pyFTS/tests/hyperparam.py
index de1eccc..4b897c3 100644
--- a/pyFTS/tests/hyperparam.py
+++ b/pyFTS/tests/hyperparam.py
@@ -4,13 +4,14 @@ from pyFTS.hyperparam import GridSearch
 def get_train_test():
     from pyFTS.data import Malaysia
 
-    ds = Malaysia.get_data('temperature')[:2000]
+    ds = Malaysia.get_data('temperature')[:1000]
     # ds =  pd.read_csv('Malaysia.csv',delimiter=',' )[['temperature']].values[:2000].flatten().tolist()
-    train = ds[:1000]
-    test = ds[1000:]
+    train = ds[:800]
+    test = ds[800:]
 
     return 'Malaysia.temperature', train, test
 
+"""
 hyperparams = {
     'order':[1, 2, 3],
     'partitions': np.arange(10,100,3),
@@ -19,8 +20,18 @@ hyperparams = {
     'lags': np.arange(1,35,2),
     'alpha': np.arange(.0, .5, .05)
 }
+"""
 
-nodes = ['192.168.0.106', '192.168.0.110'] #, '192.168.0.107']
+hyperparams = {
+    'order':[3], #[1, 2],
+    'partitions': np.arange(10,100,10),
+    'partitioner': [1,2],
+    'mf': [1] ,#, 2, 3, 4],
+    'lags': np.arange(1, 10),
+    'alpha': [.0, .3, .5]
+}
+
+nodes = ['192.168.0.106', '192.168.0.110', '192.168.0.107']
 
 ds, train, test = get_train_test()