com.expleague.ml.loss.multiclass.MCMicroF1Score Maven / Gradle / Ivy

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Various ML methods implemented by myself and my students

There is a newer version: 1.4.9

package com.expleague.ml.loss.multiclass;

import com.expleague.commons.seq.IntSeq;
import com.expleague.commons.math.vectors.Vec;
import com.expleague.commons.math.Func;
import com.expleague.ml.data.set.DataSet;

/**
 * User: qdeee
 * Date: 09.04.14
 */
public class MCMicroF1Score extends Func.Stub implements ClassicMulticlassLoss {
  private final MCMicroPrecision precision;
  private final MCMicroRecall recall;

  public MCMicroF1Score(final IntSeq target, final DataSet owner) {
    precision = new MCMicroPrecision(target, owner);
    recall = new MCMicroRecall(target, owner);
  }

  public MCMicroF1Score(final Vec target, final DataSet owner) {
    precision = new MCMicroPrecision(target, owner);
    recall = new MCMicroRecall(target, owner);
  }

  @Override
  public double value(final Vec x) {
    final double p = precision.value(x);
    final double r = recall.value(x);
    return (p + r) > 0 ? 2 * p * r / (p + r) : 0.;
  }

  @Override
  public int dim() {
    return precision.dim();
  }

  @Override
  public DataSet owner() {
    return precision.owner();
  }

  @Override
  public IntSeq labels() {
    return precision.labels();
  }
}