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DataFetcher.h
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DataFetcher.h
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/*
* Copyright (c) The Shogun Machine Learning Toolbox
* Written (w) 2016 Soumyajit De
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
* ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
* The views and conclusions contained in the software and documentation are those
* of the authors and should not be interpreted as representing official policies,
* either expressed or implied, of the Shogun Development Team.
*/
#include <shogun/lib/common.h>
#include <shogun/statistical_testing/internals/BlockwiseDetails.h>
#include <shogun/statistical_testing/internals/TrainTestDetails.h>
#ifndef DATA_FETCHER_H__
#define DATA_FETCHER_H__
namespace shogun
{
class CFeatures;
namespace internal
{
class DataManager;
class DataFetcher
{
friend class DataManager;
friend class InitPerFeature;
public:
DataFetcher(CFeatures* samples);
virtual ~DataFetcher();
void set_train_test_ratio(float64_t train_test_ratio);
float64_t get_train_test_ratio() const;
void set_train_mode(bool train_mode);
void set_xvalidation_mode(bool xvalidation_mode);
index_t get_num_folds() const;
void use_fold(index_t idx);
virtual void start();
virtual CFeatures* next();
virtual void reset();
virtual void end();
const index_t get_num_samples() const;
BlockwiseDetails& fetch_blockwise();
virtual const char* get_name() const;
protected:
DataFetcher();
BlockwiseDetails m_block_details;
TrainTestDetails m_train_test_details;
index_t m_num_samples;
private:
CFeatures* m_samples;
bool train_test_subset_used;
};
}
}
#endif // DATA_FETCHER_H__