pmlpp/outlier_finder/outlier_finder.h

67 lines
3.0 KiB
C++

#ifndef MLPP_OUTLIER_FINDER_H
#define MLPP_OUTLIER_FINDER_H
/*************************************************************************/
/* outlier_finder.h */
/*************************************************************************/
/* This file is part of: */
/* PMLPP Machine Learning Library */
/* https://github.com/Relintai/pmlpp */
/*************************************************************************/
/* Copyright (c) 2023-present Péter Magyar. */
/* Copyright (c) 2022-2023 Marc Melikyan */
/* */
/* Permission is hereby granted, free of charge, to any person obtaining */
/* a copy of this software and associated documentation files (the */
/* "Software"), to deal in the Software without restriction, including */
/* without limitation the rights to use, copy, modify, merge, publish, */
/* distribute, sublicense, and/or sell copies of the Software, and to */
/* permit persons to whom the Software is furnished to do so, subject to */
/* the following conditions: */
/* */
/* The above copyright notice and this permission notice shall be */
/* included in all copies or substantial portions of the Software. */
/* */
/* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, */
/* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF */
/* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.*/
/* IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY */
/* CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, */
/* TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE */
/* SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. */
/*************************************************************************/
#include "core/math/math_defs.h"
#include "core/object/reference.h"
#include "../lin_alg/mlpp_matrix.h"
#include "../lin_alg/mlpp_vector.h"
class MLPPOutlierFinder : public Reference {
GDCLASS(MLPPOutlierFinder, Reference);
public:
real_t get_threshold();
void set_threshold(real_t val);
Vector<Vector<real_t>> model_set_test(const Ref<MLPPMatrix> &input_set);
Array model_set_test_bind(const Ref<MLPPMatrix> &input_set);
PoolVector2iArray model_set_test_indices(const Ref<MLPPMatrix> &input_set);
PoolRealArray model_test(const Ref<MLPPVector> &input_set);
MLPPOutlierFinder(real_t threshold);
MLPPOutlierFinder();
~MLPPOutlierFinder();
protected:
static void _bind_methods();
real_t _threshold;
};
#endif /* OutlierFinder_hpp */