random_pruning.h

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/*
 * QuickRank - A C++ suite of Learning to Rank algorithms
 * Webpage: http://quickrank.isti.cnr.it/
 * Contact: quickrank@isti.cnr.it
 *
 * Unless explicitly acquired and licensed from Licensor under another
 * license, the contents of this file are subject to the Reciprocal Public
 * License ("RPL") Version 1.5, or subsequent versions as allowed by the RPL,
 * and You may not copy or use this file in either source code or executable
 * form, except in compliance with the terms and conditions of the RPL.
 *
 * All software distributed under the RPL is provided strictly on an "AS
 * IS" basis, WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, AND
 * LICENSOR HEREBY DISCLAIMS ALL SUCH WARRANTIES, INCLUDING WITHOUT
 * LIMITATION, ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
 * PURPOSE, QUIET ENJOYMENT, OR NON-INFRINGEMENT. See the RPL for specific
 * language governing rights and limitations under the RPL.
 *
 * Contributors:
 *  - Salvatore Trani(salvatore.trani@isti.cnr.it)
 */
#pragma once

#include "optimization/post_learning/pruning/cleaver.h"

namespace quickrank {
namespace optimization {
namespace post_learning {
namespace pruning {

/// This implements random pruning strategy for pruning ensembles.
class RandomPruning: public Cleaver {

 public:
  RandomPruning(double pruning_rate) : Cleaver(pruning_rate) { };

  RandomPruning(double pruning_rate,
                std::shared_ptr<learning::linear::LineSearch> lineSearch) :
      Cleaver(pruning_rate, lineSearch) { };

  RandomPruning(const pugi::xml_document &model) :
      Cleaver(model) { };

  Cleaver::PruningMethod pruning_method() const;

  bool line_search_pre_pruning() const;

  void pruning(std::set<unsigned int> &pruned_estimators,
               std::shared_ptr<data::Dataset> dataset,
               std::shared_ptr<metric::ir::Metric> scorer);
};

}  // namespace pruning
}  // namespace post_learning
}  // namespace optimization
}  // namespace quickrank