Remove an unneeded conversion

Author: AngledLuffa

src/edu/stanford/nlp/coref/fastneural/FastNeuralCorefAlgorithm.java

@@ -50,9 +50,8 @@ public FastNeuralCorefAlgorithm(Properties props, Dictionaries dictionaries) {
     maxMentionDistanceWithStringMatch = CorefProperties.maxMentionDistanceWithStringMatch(props);
     featureExtractor = new FeatureExtractor(props, dictionaries, null,
         StatisticalCorefProperties.wordCountsPath(props));
-    FastNeuralCorefModel loadedModel = IOUtils.readObjectAnnouncingTimingFromURLOrClasspathOrFileSystem(
+    model = IOUtils.readObjectAnnouncingTimingFromURLOrClasspathOrFileSystem(
         log, "Loading coref model...", FastNeuralCorefProperties.modelPath(props));
-    model = loadedModel.getCopyWithNewWeights();  // TODO: remove when ejml upgraded
   }
 
   @Override

src/edu/stanford/nlp/coref/fastneural/FastNeuralCorefModel.java

@@ -6,7 +6,6 @@
 import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
-import java.util.stream.Collectors;
 
 import edu.stanford.nlp.coref.data.Mention;
 import edu.stanford.nlp.coref.neural.CategoricalFeatureExtractor;
@@ -145,26 +144,6 @@ private SimpleMatrix addDistanceFeatures(SimpleMatrix featureVector,
     );
   }
 
-  // TODO: remove when ejml is upgraded
-  public FastNeuralCorefModel getCopyWithNewWeights() {
-    List<SimpleMatrix> weights = new ArrayList<>();
-    weights.add(new SimpleMatrix(anaphorKernel));
-    weights.add(new SimpleMatrix(anaphorBias));
-    weights.add(new SimpleMatrix(antecedentKernel));
-    weights.add(new SimpleMatrix(anaphorBias));
-    weights.add(new SimpleMatrix(pairFeaturesKernel));
-    weights.add(new SimpleMatrix(pairFeaturesBias));
-    weights.add(new SimpleMatrix(NARepresentation));
-    weights.addAll(networkLayers.stream()
-        .map(x->new SimpleMatrix(x))
-        .collect(Collectors.toList()));
-    return new FastNeuralCorefModel(
-        embeddingExtractor,
-        pairFeatureIds,
-        mentionFeatureIds,
-        weights);
-  }
-
   public static FastNeuralCorefModel loadFromTextFiles(String path) {
     List<SimpleMatrix> weights = NeuralUtils.loadTextMatrices(path + "weights.txt");
     weights.set(weights.size() - 2, weights.get(weights.size() - 2).transpose());