Fixes error in handling

talos/parameters/handling.py

@@ -19,10 +19,10 @@ def run_param_pick(self):
         _choice = random.choice(self.param_log)
 
     elif self.search_method == 'linear':
-        _choice = self.param_log.min()
+        _choice = min(self.param_log)
 
     elif self.search_method == 'reverse':
-        _choice = self.param_log.max()
+        _choice = max(self.param_log)
 
     self.param_log.remove(_choice)
 

test/core_tests/test_scan.py

@@ -102,15 +102,28 @@ class TestCancer:
 
     def __init__(self):
         self.x, self.y = datasets.cervical_cancer()
+        self.model = cervix_model
 
     def test_scan_cancer(self):
         print("Running Cervical Cancer dataset test...")
-        Scan(self.x, self.y, grid_downsample=0.001, params=p3,
+        Scan(self.x, self.y, grid_downsample=0.0005, params=p3,
              dataset_name='testing', experiment_no='a',
-             model=cervix_model,
+             model=self.model,
              reduction_method='spear', reduction_interval=5)
         Reporting('testing_a.csv')
 
+    def test_linear_method(self):
+        print("Testing linear method on Cancer dataset...")
+        Scan(self.x, self.y, params=p3, dataset_name='testing',
+             search_method='linear', grid_downsample=0.0005,
+             experiment_no='000', model=self.model)
+
+    def test_reverse_method(self):
+        print("Testing reverse method on Cancer dataset...")
+        Scan(self.x, self.y, params=p3, dataset_name='testing',
+             search_method='reverse', grid_downsample=0.0005,
+             experiment_no='000', model=self.model)
+
 
 class TestLoadDatasets:
 

test_script.py

@@ -6,6 +6,8 @@
 if __name__ == '__main__':
 
     # TODO describe what all this does
+    TestCancer().test_linear_method()
+    TestCancer().test_reverse_method()
     TestIris().test_scan_iris_explicit_validation_set()
     TestIris().test_scan_iris_explicit_validation_set_force_fail()
     TestIris().test_scan_iris_1()