fix - sklearn/classification example has a typo in the property 'kernel' when...

fix - sklearn/classification example has a typo in the property 'kernel' when setting model parameterss (#1630)

* fix - sklearn/classification example has a typo in the property 'kernel' when setting model parameters

examples/trials/sklearn/classification/main.py

@@ -41,7 +41,7 @@ def get_default_parameters():
     '''get default parameters'''
     params = {
         'C': 1.0,
-        'keral': 'linear',
+        'kernel': 'linear',
         'degree': 3,
         'gamma': 0.01,
         'coef0': 0.01
@@ -52,7 +52,7 @@ def get_model(PARAMS):
     '''Get model according to parameters'''
     model = SVC()
     model.C = PARAMS.get('C')
-    model.keral = PARAMS.get('keral')
+    model.kernel = PARAMS.get('kernel')
     model.degree = PARAMS.get('degree')
     model.gamma = PARAMS.get('gamma')
     model.coef0 = PARAMS.get('coef0')

examples/trials/sklearn/classification/search_space.json

 {
     "C": {"_type":"uniform","_value":[0.1, 1]},
-    "keral": {"_type":"choice","_value":["linear", "rbf", "poly", "sigmoid"]},
+    "kernel": {"_type":"choice","_value":["linear", "rbf", "poly", "sigmoid"]},
     "degree": {"_type":"choice","_value":[1, 2, 3, 4]},
     "gamma": {"_type":"uniform","_value":[0.01, 0.1]},
     "coef0 ": {"_type":"uniform","_value":[0.01, 0.1]}