Implemented changes requested in review

Author: Hopding

src/main/java/org/numenta/nupic/network/Layer.java

@@ -1918,8 +1918,9 @@ private void clearSubscriberObserverLists() {
      * @param encoder
      * @return
      */
+    @SuppressWarnings("unchecked")
     NamedTuple makeClassifiers(MultiEncoder encoder) {
-        Map inferredFields = (Map<String, Class<? extends Classifier>>) params.get(KEY.INFERRED_FIELDS);
+        Map<String, Class<? extends Classifier>> inferredFields = (Map<String, Class<? extends Classifier>>) params.get(KEY.INFERRED_FIELDS);
         if(inferredFields == null || inferredFields.entrySet().size() == 0) {
             throw new IllegalStateException(
                     "KEY.AUTO_CLASSIFY has been set to \"true\", but KEY.INFERRED_FIELDS is null or\n\t" +

src/test/java/org/numenta/nupic/network/LayerTest.java

@@ -1851,7 +1851,7 @@ public void TestMakeClassifiersWithNoInferredFieldsKey() {
         // Make sure the makeClassifiers() method throws exception due to
         // absence of KEY.INFERRED_FIELDS in the Parameters object
         try {
-            NamedTuple nt = l.makeClassifiers(l.getEncoder());
+            l.makeClassifiers(l.getEncoder());
         } catch (IllegalStateException e) {
             assertTrue(e.getMessage().contains("KEY.INFERRED_FIELDS"));
             assertTrue(e.getMessage().contains("null"));

src/test/java/org/numenta/nupic/network/NetworkTestHarness.java

@@ -26,7 +26,6 @@
 
 import org.numenta.nupic.Parameters;
 import org.numenta.nupic.Parameters.KEY;
-import org.numenta.nupic.algorithms.CLAClassifier;
 import org.numenta.nupic.algorithms.Classifier;
 import org.numenta.nupic.encoders.Encoder;
 import org.numenta.nupic.util.Tuple;