/usr/include/torch/KFold.h is in libtorch3-dev 3.1-2.2.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 | // Copyright (C) 2003--2004 Ronan Collobert (collober@idiap.ch)
// and Samy Bengio (bengio@idiap.ch)
//
// This file is part of Torch 3.1.
//
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#ifndef KFOLD_INC
#define KFOLD_INC
#include "Trainer.h"
namespace Torch {
/** Provides an interface to sample data, for use by methods such
as cross-validation
@author Samy Bengio (bengio@idiap.ch)
@author Ronan Collobert (collober@idiap.ch)
*/
class KFold : public Object
{
public:
/// Training examples for each fold
int** train_subsets;
/// Test examples for each fold
int** test_subsets;
/// Number of training examples for each fold...
int* n_train_subsets;
/// Number of test examples for each fold...
int* n_test_subsets;
// Trainer used to do KFold
Trainer* trainer;
// Number of folds!
int kfold;
///
KFold(Trainer* trainer_, int kfold_);
/** Do a cross-validation over #data#.
#train_measurers# are called in each "train pass" for each fold.
#test_measurers# are called in each "test pass" for each fold.
#cross_valid_measurers# are called during the cross-validation loop.
*/
virtual void crossValidate(DataSet *data, MeasurerList *train_measurers=NULL, MeasurerList *test_measurers=NULL, MeasurerList *cross_valid_measurers=NULL);
/** Prepare the sample.
Given #n_examples#, puts the right examples-indices in #train_subsets#
and #test_subsets#, and updates #n_train_subsets# and #n_test_subsets#.
(You don't have to allocate these arrays).
The provided sample function is a standard sample for cross-validation,
but you could imagine what you want!
*/
virtual void sample(int n_examples);
virtual ~KFold();
};
}
#endif
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