modified loopity and multclass3 to have skf_cv as a parameters for cv

base_estimator.py

@@ -138,6 +138,14 @@ parameters = [
         #'tfidf__stop_words': [None],
         'clf__estimator__alpha': (1e-2, 1e-3, 1e-1),
     },
+    
+    {
+        'clf__estimator': [LogisticRegression()],
+        'C': [0.001, 0.01, 0.1, 1, 10, 100, 1000],
+        'penalty': ['none', 'l1', 'l2', 'elasticnet'],
+        'max_iter': list(range(100,800,100)),
+        'solver': ['newton-cg', 'lbfgs', 'liblinear', 'sag', 'saga'],
+    },
 ]
 
 pipeline = Pipeline([