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);
}
}
public static int imputeCat(Vec v) {
if (v.isCategorical()) return v.mode();
return (int) Math.round(v.mean());
}