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1 : /* +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 2 : Copyright (c) 2015-2023 The plumed team 3 : (see the PEOPLE file at the root of the distribution for a list of names) 4 : 5 : See http://www.plumed.org for more information. 6 : 7 : This file is part of plumed, version 2. 8 : 9 : plumed is free software: you can redistribute it and/or modify 10 : it under the terms of the GNU Lesser General Public License as published by 11 : the Free Software Foundation, either version 3 of the License, or 12 : (at your option) any later version. 13 : 14 : plumed is distributed in the hope that it will be useful, 15 : but WITHOUT ANY WARRANTY; without even the implied warranty of 16 : MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 17 : GNU Lesser General Public License for more details. 18 : 19 : You should have received a copy of the GNU Lesser General Public License 20 : along with plumed. If not, see <http://www.gnu.org/licenses/>. 21 : +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ */ 22 : #ifndef __PLUMED_dimred_DimensionalityReductionBase_h 23 : #define __PLUMED_dimred_DimensionalityReductionBase_h 24 : 25 : #include "analysis/AnalysisBase.h" 26 : 27 : namespace PLMD { 28 : namespace dimred { 29 : 30 : class DimensionalityReductionBase : public analysis::AnalysisBase { 31 : friend class ProjectNonLandmarkPoints; 32 : friend class SketchMapBase; 33 : private: 34 : /// This are the target distances for a single point. 35 : /// This is used when we do out of sample or pointwise global optimization 36 : std::vector<double> dtargets; 37 : /// The projections that were generated by the dimensionality reduction algorithm 38 : Matrix<double> projections; 39 : protected: 40 : /// Dimensionality of low dimensional space 41 : unsigned nlow; 42 : /// A pointer to any dimensionality reduction base that we have got projections from 43 : DimensionalityReductionBase* dimredbase; 44 : public: 45 : static void registerKeywords( Keywords& keys ); 46 : explicit DimensionalityReductionBase( const ActionOptions& ); 47 : /// Get the ith data point (this returns the projection) 48 : virtual void getProjection( const unsigned& idata, std::vector<double>& point, double& weight ); 49 : /// Actually perform the analysis 50 : virtual void performAnalysis(); 51 : /// Overwrite getArguments so we get arguments from underlying class 52 : std::vector<Value*> getArgumentList(); 53 : /// Calculate the projections of points 54 : virtual void calculateProjections( const Matrix<double>&, Matrix<double>& )=0; 55 : /// Set one of the elements in the target vector. This target vector is used 56 : /// when we use calculateStress when finding the projections of individual points. 57 : /// For example this function is used in PLMD::dimred::ProjectOutOfSample 58 : virtual void setTargetDistance( const unsigned&, const double& ); 59 : /// Calculate the pointwise stress on one point when it is located at pp. 60 : /// This function makes use of the distance data in dtargets 61 : /// It is used in PLMD::dimred::ProjectOutOfSample and in pointwise optimisation 62 : virtual double calculateStress( const std::vector<double>& pp, std::vector<double>& der ); 63 : /// Overwrite virtual function in ActionWithVessel 64 0 : void performTask( const unsigned&, const unsigned&, MultiValue& ) const { plumed_error(); } 65 : }; 66 : 67 : inline 68 0 : void DimensionalityReductionBase::setTargetDistance( const unsigned& idata, const double& dist ) { 69 0 : dtargets[idata]=dist; 70 0 : } 71 : 72 : } 73 : } 74 : #endif