示例#1
0
 private void setTransform(
     TransformType t, double[] normMul, double[] normSub, int vecStart, int n) {
   int idx = 0; // idx!=i when interactions are in play, otherwise, it's just 'i'
   for (int i = 0; i < n; ++i) {
     Vec v = _adaptedFrame.vec(vecStart + i);
     boolean isIWV = isInteractionVec(vecStart + i);
     switch (t) {
       case STANDARDIZE:
         normMul[idx] = (v.sigma() != 0) ? 1.0 / v.sigma() : 1.0;
         if (isIWV) for (int j = idx + 1; j < nextNumericIdx(i) + idx; j++) normMul[j] = 1;
         normSub[idx] = v.mean();
         break;
       case NORMALIZE:
         normMul[idx] = (v.max() - v.min() > 0) ? 1.0 / (v.max() - v.min()) : 1.0;
         if (isIWV) for (int j = idx + 1; j < nextNumericIdx(i) + idx; j++) normMul[j] = 1;
         normSub[idx] = v.mean();
         break;
       case DEMEAN:
         normMul[idx] = 1;
         if (isIWV) for (int j = idx + 1; j < nextNumericIdx(i) + idx; j++) normMul[j] = 1;
         normSub[idx] = v.mean();
         break;
       case DESCALE:
         normMul[idx] = (v.sigma() != 0) ? 1.0 / v.sigma() : 1.0;
         if (isIWV) for (int j = idx + 1; j < nextNumericIdx(i) + idx; j++) normMul[j] = 1;
         normSub[idx] = 0;
         break;
       default:
         throw H2O.unimpl();
     }
     assert !Double.isNaN(normMul[idx]);
     assert !Double.isNaN(normSub[idx]);
     idx = isIWV ? (idx + nextNumericIdx(i)) : (idx + 1);
   }
 }
示例#2
0
 public static int imputeCat(Vec v) {
   if (v.isCategorical()) return v.mode();
   return (int) Math.round(v.mean());
 }