Training, crossvalidation and testing dataset

Carlos-Francisco Méndez-Cruz
Commit 5f84dfeef97f664791b5a7c88ab3365dc22abb7a 5f84dfee 1 parent 067a9feb
Showing 1 changed file with 7 additions and 7 deletions
clasificacion-automatica/binding-thrombin-dataset/training-crossvalidation-testing-binding-thrombin.py
--- a/clasificacion-automatica/binding-thrombin-dataset/training-crossvalidation-testing-binding-thrombin.py
View file @5f84dfe
+++ b/clasificacion-automatica/binding-thrombin-dataset/training-crossvalidation-testing-binding-thrombin.py
View file @5f84dfe
@@ -219,13 +219,13 @@ if __name__ == "__main__":
         paramGrid = {'alpha': scipy.stats.expon(scale=1.0)}
         myClassifier = model_selection.RandomizedSearchCV(classifier, paramGrid, n_iter=nIter,
                                                           cv=crossV, n_jobs=jobs, verbose=3)
-    elif args.classifier == 'kNN':
+    # elif args.classifier == 'kNN':
-        # kNN
+    #     # kNN
-        k_range = list(range(1, 7, 2))
+    #     k_range = list(range(1, 7, 2))
-        classifier = KNeighborsClassifier()
+    #     classifier = KNeighborsClassifier()
-        paramGrid = {'n_neighbors ': k_range}
+    #     paramGrid = {'n_neighbors ': k_range}
-        myClassifier = model_selection.RandomizedSearchCV(classifier, paramGrid, n_iter=3,
+    #     myClassifier = model_selection.RandomizedSearchCV(classifier, paramGrid, n_iter=3,
-                                                          cv=crossV, n_jobs=jobs, verbose=3)
+    #                                                       cv=crossV, n_jobs=jobs, verbose=3)
     else:
         print("Bad classifier")
         exit()