hex.genmodel.algos.tree.TreeSHAPEnsemble Maven / Gradle / Ivy
package hex.genmodel.algos.tree;
import java.util.Collection;
public class TreeSHAPEnsemble implements TreeSHAPPredictor {
private final TreeSHAPPredictor[] _predictors;
private final float _initPred;
private final int _wsMakerIndex;
@SuppressWarnings("unchecked")
public TreeSHAPEnsemble(Collection> predictors, float initPred) {
_predictors = predictors.toArray(new TreeSHAPPredictor[0]);
_initPred = initPred;
_wsMakerIndex = findWorkspaceMaker(_predictors);
}
@Override
public float[] calculateContributions(R feat, float[] out_contribs) {
return calculateContributions(feat, out_contribs, 0, -1, makeWorkspace());
}
@Override
public float[] calculateContributions(R feat, float[] out_contribs, int condition, int condition_feature, TreeSHAP.Workspace workspace) {
if (condition == 0) {
out_contribs[out_contribs.length - 1] += _initPred;
}
for (TreeSHAPPredictor predictor : _predictors) {
predictor.calculateContributions(feat, out_contribs, condition, condition_feature, workspace);
}
return out_contribs;
}
@Override
public double[] calculateInterventionalContributions(R feat, R background, double[] out_contribs, int[] catOffsets, boolean expand) {
out_contribs[out_contribs.length - 1] += _initPred;
for (TreeSHAPPredictor predictor : _predictors) {
predictor.calculateInterventionalContributions(feat, background, out_contribs, catOffsets, expand);
}
return out_contribs;
}
@Override
public TreeSHAPPredictor.Workspace makeWorkspace() {
return _wsMakerIndex >= 0 ? _predictors[_wsMakerIndex].makeWorkspace() : null;
}
@Override
public int getWorkspaceSize() {
return _wsMakerIndex >= 0 ? _predictors[_wsMakerIndex].getWorkspaceSize() : 0;
}
private static int findWorkspaceMaker(TreeSHAPPredictor[] predictors) {
if (predictors.length == 0)
return -1;
int maxSize = 0;
int wsMakerIndex = 0;
for (int i = 0; i < predictors.length; i++) {
int size = predictors[i].getWorkspaceSize();
if (size > maxSize) {
maxSize = size;
wsMakerIndex = i;
}
}
return wsMakerIndex;
}
}