com.expleague.ml.methods.Optimization Maven / Gradle / Ivy
package com.expleague.ml.methods;
import com.expleague.commons.func.Computable;
import com.expleague.commons.math.vectors.Vec;
import com.expleague.ml.TargetFunc;
import com.expleague.ml.data.set.DataSet;
/**
* 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).dim() * f.dim()
* @return function f = \arg \min_f Loss((f(learn_i))_1^m)
*/
Computable fit(DSType learn, Loss loss);
}