coco
70 lines
2.5 KiB
C++
70 lines
2.5 KiB
C++
// Copyright (C) 2011 Davis E. King (davis@dlib.net)
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// License: Boost Software License See LICENSE.txt for the full license.
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#undef DLIB_CROSS_VALIDATE_ASSiGNEMNT_TRAINER_ABSTRACT_Hh_
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#ifdef DLIB_CROSS_VALIDATE_ASSiGNEMNT_TRAINER_ABSTRACT_Hh_
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#include <vector>
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#include "../matrix.h"
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#include "svm.h"
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namespace dlib
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{
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// ----------------------------------------------------------------------------------------
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template <
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typename assignment_function
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>
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double test_assignment_function (
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const assignment_function& assigner,
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const std::vector<typename assignment_function::sample_type>& samples,
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const std::vector<typename assignment_function::label_type>& labels
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);
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/*!
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requires
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- is_assignment_problem(samples, labels)
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- if (assigner.forces_assignment()) then
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- is_forced_assignment_problem(samples, labels)
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- assignment_function == an instantiation of the dlib::assignment_function
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template or an object with a compatible interface.
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ensures
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- Tests assigner against the given samples and labels and returns the fraction
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of assignments predicted correctly.
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!*/
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// ----------------------------------------------------------------------------------------
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template <
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typename trainer_type
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>
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double cross_validate_assignment_trainer (
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const trainer_type& trainer,
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const std::vector<typename trainer_type::sample_type>& samples,
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const std::vector<typename trainer_type::label_type>& labels,
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const long folds
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);
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/*!
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requires
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- is_assignment_problem(samples, labels)
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- if (trainer.forces_assignment()) then
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- is_forced_assignment_problem(samples, labels)
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- 1 < folds <= samples.size()
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- trainer_type == dlib::structural_assignment_trainer or an object
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with a compatible interface.
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ensures
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- performs k-fold cross validation by using the given trainer to solve the
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given assignment learning problem for the given number of folds. Each fold
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is tested using the output of the trainer and the fraction of assignments
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predicted correctly is returned.
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- The number of folds used is given by the folds argument.
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!*/
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// ----------------------------------------------------------------------------------------
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}
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#endif // DLIB_CROSS_VALIDATE_ASSiGNEMNT_TRAINER_ABSTRACT_Hh_
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