SimpleMatrix randomTransformMatrix() {
SimpleMatrix binary = new SimpleMatrix(numHid, numHid * 2 + 1);
// bias column values are initialized zero
binary.insertIntoThis(0, 0, randomTransformBlock());
binary.insertIntoThis(0, numHid, randomTransformBlock());
return binary.scale(op.trainOptions.scalingForInit);
}
/** Returns matrices of the right size for either binary or unary (terminal) classification */
SimpleMatrix randomClassificationMatrix() {
SimpleMatrix score = new SimpleMatrix(numClasses, numHid + 1);
// Leave the bias column with 0 values
double range = 1.0 / (Math.sqrt((double) numHid));
score.insertIntoThis(0, 0, SimpleMatrix.random(numClasses, numHid, -range, range, rand));
return score.scale(op.trainOptions.scalingForInit);
}