com.expleague.ml.data.tools.BinModelBuilder Maven / Gradle / Ivy
package com.expleague.ml.data.tools;
import com.expleague.commons.util.ArrayTools;
import com.expleague.ml.BFGrid;
import com.expleague.ml.impl.BinaryFeatureImpl;
import com.expleague.ml.models.ObliviousTree;
/**
* Created by noxoomo on 31/07/14.
*/
public class BinModelBuilder {
private final FullMatrixClassifierInfo result;
private final int[] rowStarts;
public BinModelBuilder(final BFGrid grid) {
rowStarts = new int[grid.rows()];
int gridSize = 0;
for (int i = 0; i < grid.rows(); ++i)
gridSize += grid.row(i).size();
result = new FullMatrixClassifierInfo(gridSize);
int currentIndex = 0;
for (int rowIndex = 0; rowIndex < grid.rows(); ++rowIndex) {
rowStarts[rowIndex] = currentIndex;
final BFGrid.Row row = grid.row(rowIndex);
for (int bin = 0; bin < row.size(); ++bin) {
final BFGrid.Feature bf = row.bf(bin);
result.binFeatures[currentIndex] = new BinaryFeatureStat(rowIndex, bf.condition());
++currentIndex;
}
}
}
public void append(final ObliviousTree tree, final Double weight) {
final int treeDepth = tree.features().size();
final int[] conditions = new int[treeDepth];
final double[][] values;
final BinaryFeatureImpl[] features = (BinaryFeatureImpl[]) tree.features().toArray();
for (int i = 0; i < treeDepth; ++i) {
final int depth = treeDepth - i - 1;
conditions[i] = rowStarts[features[depth].findex] + features[depth].binNo;
}
values = new double[1][1 << conditions.length];
final double[] leaveValues = tree.values();
System.arraycopy(leaveValues, 0, values[0], 0, (1 << conditions.length));
ArrayTools.mul(values[0], 0, values.length, weight);
result.trees.add(new TreeStat(conditions, values));
}
public FullMatrixClassifierInfo build() {
return result;
}
}
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