rename inputParameter -> inputFeature

2 files changed, 11 insertions, 11 deletions

diff --git a/config-model/src/main/java/com/yahoo/searchdefinition/RankProfile.java b/config-model/src/main/java/com/yahoo/searchdefinition/RankProfile.java
index 11f5438af4d..b460752d7bd 100644
--- a/config-model/src/main/java/com/yahoo/searchdefinition/RankProfile.java
+++ b/config-model/src/main/java/com/yahoo/searchdefinition/RankProfile.java
@@ -103,7 +103,7 @@ public class RankProfile implements Cloneable {
 
     private Map<String, RankingExpressionFunction> functions = new LinkedHashMap<>();
 
-    private Map<Reference, TensorType> inputParameters = new LinkedHashMap<>();
+    private Map<Reference, TensorType> inputFeatures = new LinkedHashMap<>();
 
     private Set<String> filterFields = new HashSet<>();
 
@@ -585,16 +585,16 @@ public class RankProfile implements Cloneable {
      * that a input is provided with the declared type (for the purpose of
      * type resolving).
      **/
-    public void addInputParameter(String name, TensorType declaredType) {
+    public void addInputFeature(String name, TensorType declaredType) {
         Reference ref = Reference.fromIdentifier(name);
-        if (inputParameters.containsKey(ref)) {
-            TensorType hadType = inputParameters.get(ref);
+        if (inputFeatures.containsKey(ref)) {
+            TensorType hadType = inputFeatures.get(ref);
             if (! declaredType.equals(hadType)) {
-                throw new IllegalArgumentException("Tried to replace input parameter "+name+" with different type: "+
+                throw new IllegalArgumentException("Tried to replace input feature "+name+" with different type: "+
                                                    hadType+" -> "+declaredType);
             }
         }
-        inputParameters.put(ref, declaredType);
+        inputFeatures.put(ref, declaredType);
     }
 
     public RankingExpressionFunction findFunction(String name) {
@@ -696,7 +696,7 @@ public class RankProfile implements Cloneable {
             clone.summaryFeatures = summaryFeatures != null ? new LinkedHashSet<>(this.summaryFeatures) : null;
             clone.rankFeatures = rankFeatures != null ? new LinkedHashSet<>(this.rankFeatures) : null;
             clone.rankProperties = new LinkedHashMap<>(this.rankProperties);
-            clone.inputParameters = new LinkedHashMap<>(this.inputParameters);
+            clone.inputFeatures = new LinkedHashMap<>(this.inputFeatures);
             clone.functions = new LinkedHashMap<>(this.functions);
             clone.filterFields = new HashSet<>(this.filterFields);
             clone.constants = new HashMap<>(this.constants);
@@ -814,8 +814,8 @@ public class RankProfile implements Cloneable {
 
     private Map<Reference, TensorType> collectFeatureTypes() {
         Map<Reference, TensorType> featureTypes = new HashMap<>();
-        // Add input parameters
-        inputParameters.forEach((k, v) -> featureTypes.put(k, v));
+        // Add input features
+        inputFeatures.forEach((k, v) -> featureTypes.put(k, v));
         // Add attributes
         allFields().forEach(field -> addAttributeFeatureTypes(field, featureTypes));
         allImportedFields().forEach(field -> addAttributeFeatureTypes(field, featureTypes));
diff --git a/config-model/src/main/java/com/yahoo/vespa/model/ml/ConvertedModel.java b/config-model/src/main/java/com/yahoo/vespa/model/ml/ConvertedModel.java
index 01da57fc9bb..9086ca9f40e 100644
--- a/config-model/src/main/java/com/yahoo/vespa/model/ml/ConvertedModel.java
+++ b/config-model/src/main/java/com/yahoo/vespa/model/ml/ConvertedModel.java
@@ -211,7 +211,7 @@ public class ConvertedModel {
         for (ImportedMlFunction outputFunction : model.outputExpressions()) {
             ExpressionFunction expression = asExpressionFunction(outputFunction);
             for (Map.Entry<String, TensorType> input : expression.argumentTypes().entrySet()) {
-                profile.addInputParameter(input.getKey(), input.getValue());
+                profile.addInputFeature(input.getKey(), input.getValue());
             }
             addExpression(expression, expression.getName(),
                           constantsReplacedByFunctions,
@@ -284,7 +284,7 @@ public class ConvertedModel {
             String name = output.getFirst();
             ExpressionFunction expression = output.getSecond();
             for (Map.Entry<String, TensorType> input : expression.argumentTypes().entrySet()) {
-                profile.addInputParameter(input.getKey(), input.getValue());
+                profile.addInputFeature(input.getKey(), input.getValue());
             }
             TensorType type = expression.getBody().type(profile.typeContext());
             if (type != null) {