Examples of extractMatrix()

Examples of org.ejml.simple.SimpleMatrix.extractMatrix()

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    for (int i = 0; i < lines.size() && i < combinedWV.numCols(); ++i) {
      String[] pieces = lines.get(i).split(" +");
      if (pieces.length == 0 || pieces.length > 1) {
        continue;
      }
      wordVectors.put(pieces[0], combinedWV.extractMatrix(0, numSlices, i, i+1));
      if (pieces[0].equals("UNK")) {
        wordVectors.put(SentimentModel.UNKNOWN_WORD, wordVectors.get("UNK"));
      }
    }
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Examples of org.ejml.simple.SimpleMatrix.extractMatrix()

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      //SimpleMatrix wordDerivative = deltaFull.elementMult(currentVectorDerivative);
      //wordVectorD.put(word, wordVectorD.get(word).plus(wordDerivative));

      SimpleMatrix currentVectorDerivative = NeuralUtils.elementwiseApplyTanhDerivative(currentVector);
      SimpleMatrix deltaFromClass = model.getUnaryClassification(category).transpose().mult(deltaClass);
      deltaFromClass = deltaFromClass.extractMatrix(0, model.op.numHid, 0, 1).elementMult(currentVectorDerivative);
      SimpleMatrix deltaFull = deltaFromClass.plus(deltaUp);
      wordVectorD.put(word, wordVectorD.get(word).plus(deltaFull));
    } else {
      // Otherwise, this must be a binary node
      String leftCategory = model.basicCategory(tree.children()[0].label().value());
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Examples of org.ejml.simple.SimpleMatrix.extractMatrix()

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        binaryCD.put(leftCategory, rightCategory, binaryCD.get(leftCategory, rightCategory).plus(localCD));
      }

      SimpleMatrix currentVectorDerivative = NeuralUtils.elementwiseApplyTanhDerivative(currentVector);
      SimpleMatrix deltaFromClass = model.getBinaryClassification(leftCategory, rightCategory).transpose().mult(deltaClass);
      deltaFromClass = deltaFromClass.extractMatrix(0, model.op.numHid, 0, 1).elementMult(currentVectorDerivative);
      SimpleMatrix deltaFull = deltaFromClass.plus(deltaUp);

      SimpleMatrix leftVector = RNNCoreAnnotations.getNodeVector(tree.children()[0]);
      SimpleMatrix rightVector = RNNCoreAnnotations.getNodeVector(tree.children()[1]);
      SimpleMatrix childrenVector = NeuralUtils.concatenateWithBias(leftVector, rightVector);
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