com.expleague.ml.methods.Optimization Maven / Gradle / Ivy

Go to download

Show more of this group Show more artifacts with this name
Show all versions of jmll

Various ML methods implemented by myself and my students

There is a newer version: 1.4.9

package com.expleague.ml.methods;

import com.expleague.commons.math.vectors.Vec;
import com.expleague.ml.TargetFunc;
import com.expleague.ml.data.set.DataSet;

import java.util.function.Function;

/**
 * User: solar
 * Date: 21.12.2010
 * Time: 22:14:38
 */
public interface Optimization, DSItem> {
  /**
   * @param learn X part of data set
   * @param loss is function of solution function results on each point of data set, loss.xdim() == solution.value(learn).xdim() * f.xdim()
   * @return function f = \arg \min_f Loss((f(learn_i))_1^m)
   */
  Function fit(DSType learn, Loss loss);
}