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-rw-r--r--examples/examples-adaptive/src/main/java/org/onap/policy/apex/examples/adaptive/model/java/AutoLearnPolicyDecideTaskSelectionLogic.java16
1 files changed, 8 insertions, 8 deletions
diff --git a/examples/examples-adaptive/src/main/java/org/onap/policy/apex/examples/adaptive/model/java/AutoLearnPolicyDecideTaskSelectionLogic.java b/examples/examples-adaptive/src/main/java/org/onap/policy/apex/examples/adaptive/model/java/AutoLearnPolicyDecideTaskSelectionLogic.java
index 32387d047..ef697b077 100644
--- a/examples/examples-adaptive/src/main/java/org/onap/policy/apex/examples/adaptive/model/java/AutoLearnPolicyDecideTaskSelectionLogic.java
+++ b/examples/examples-adaptive/src/main/java/org/onap/policy/apex/examples/adaptive/model/java/AutoLearnPolicyDecideTaskSelectionLogic.java
@@ -49,10 +49,10 @@ public class AutoLearnPolicyDecideTaskSelectionLogic {
public boolean getTask(final TaskSelectionExecutionContext executor) {
String idString = executor.subject.getId();
executor.logger.debug(idString);
-
+
String inFieldsString = executor.inFields.toString();
executor.logger.debug(inFieldsString);
-
+
final List<String> tasks = executor.subject.getTaskNames();
size = tasks.size();
@@ -144,22 +144,22 @@ public class AutoLearnPolicyDecideTaskSelectionLogic {
autoLearn.setAvDiffs(Arrays.asList(avdiffs));
autoLearn.setCounts(Arrays.asList(counts));
}
-
/**
- * Calculate the return value of the learning
+ * Calculate the return value of the learning.
+ *
* @param diff the difference
- * @param r the random value
+ * @param random the random value
* @param closestupi closest to i upwards
* @param closestdowni closest to i downwards
* @param closestup closest up value
* @param closestdown closest down value
* @return the return value
*/
- private int calculateReturnValue(final double diff, final int r, int closestupi, int closestdowni, double closestup,
- double closestdown) {
+ private int calculateReturnValue(final double diff, final int random, int closestupi, int closestdowni,
+ double closestup, double closestdown) {
if (closestupi == -1 || closestdowni == -1) {
- return r;
+ return random;
}
if (closestupi == closestdowni) {
return closestupi;