File vector_confusion_matrix_dense.hpp

namespace seco
template<typename StatisticType>
class DenseConfusionMatrixVector : public ClearableViewDecorator<DenseVectorDecorator<AllocatedVector<ConfusionMatrix<StatisticType>>>>
#include <vector_confusion_matrix_dense.hpp>

An one-dimensional vector that stores a fixed number of confusion matrices in a C-contiguous array.

Template Parameters:

StatisticType – The type of the elements stored in the confusion matrices

Public Functions

DenseConfusionMatrixVector(uint32 numElements, bool init = false)
Parameters:

  • numElements – The number of elements in the vector

  • init – True, if the elements of all confusion matrices should be value-initialized

DenseConfusionMatrixVector(const DenseConfusionMatrixVector &other)
Parameters:

other – A reference to an object of type DenseConfusionMatrixVector to be copied

void add(const DenseConfusionMatrixVector<StatisticType> &other)

Adds all confusion matrix elements in another vector to this vector.

Parameters:

other – A reference to an object of type DenseConfusionMatrixVector to be copied

void add(const DenseDecomposableStatisticMatrix<CContiguousView<const uint8>>::View &view, uint32 row, StatisticType weight = 1)

Adds the confusion matrix elements that correspond to an example at a specific index to this vector. The confusion matrix elements to be added are multiplied by a specific weight.

Parameters:

  • view – A reference to an object of type DenseDecomposableStatisticMatrix<CContiguousView<const uint8>>::View that provides random access to the confusion matrices of the training examples

  • row – The index of the row to be added to this vector

  • weight – The weight, the confusion matrix elements should be multiplied by

void add(const DenseDecomposableStatisticMatrix<BinaryCsrView>::View &view, uint32 row, StatisticType weight = 1)

Adds the confusion matrix elements that correspond to an example at a specific index to this vector. The confusion matrix elements to be added are multiplied by a specific weight.

Parameters:

  • view – A reference to an object of type DenseDecomposableStatisticMatrix<BinaryCsrView>::View that provides random access to the confusion matrices of the training examples

  • row – The index of the row to be added to this vector

  • weight – The weight, the confusion matrix elements should be multiplied by

void remove(const DenseDecomposableStatisticMatrix<CContiguousView<const uint8>>::View &view, uint32 row, StatisticType weight = 1)

Removes the confusion matrix elements at a specific row of a view from this vector. The confusion matrix elements to be added are multiplied by a specific weight.

Parameters:

  • view – A reference to an object of type DenseDecomposableStatisticMatrix<CContiguousView<const uint8>>::View that provides random access to the confusion matrices of the training examples

  • row – The index of the row to be removed from this vector

  • weight – The weight, the confusion matrix elements should be multiplied by

void remove(const DenseDecomposableStatisticMatrix<BinaryCsrView>::View &view, uint32 row, StatisticType weight = 1)

Removes the confusion matrix elements at a specific row of a view from this vector. The confusion matrix elements to be added are multiplied by a specific weight.

Parameters:

  • view – A reference to an object of type DenseDecomposableStatisticMatrix<BinaryCsrView>::View that provides random access to the confusion matrices of the training examples

  • row – The index of the row to be removed from this vector

  • weight – The weight, the confusion matrix elements should be multiplied by

void addToSubset(const DenseDecomposableStatisticMatrix<CContiguousView<const uint8>>::View &view, uint32 row, const CompleteIndexVector &indices, StatisticType weight = 1)

Adds certain confusion matrix elements in a specific row of a view, whose positions are given as a CompleteIndexVector, to this vector. The confusion matrix elements to be added are multiplied by a specific weight.

Parameters:

  • view – A reference to an object of type DenseDecomposableStatisticMatrix<CContiguousView<const uint8>>::View that provides random access to the confusion matrices of the training examples

  • row – The index of the row to be added to this vector

  • indices – A reference to a CompleteIndexVector that provides access to the indices

  • weight – The weight, the confusion matrix elements should be multiplied by

void addToSubset(const DenseDecomposableStatisticMatrix<BinaryCsrView>::View &view, uint32 row, const CompleteIndexVector &indices, StatisticType weight = 1)

Adds certain confusion matrix elements in a specific row of a view, whose positions are given as a CompleteIndexVector, to this vector. The confusion matrix elements to be added are multiplied by a specific weight.

Parameters:

  • view – A reference to an object of type DenseDecomposableStatisticMatrix<BinaryCsrView>::View that provides row-wise access to the labels of the training examples

  • row – The index of the row to be added to this vector

  • indices – A reference to a CompleteIndexVector that provides access to the indices

  • weight – The weight, the confusion matrix elements should be multiplied by

void addToSubset(const DenseDecomposableStatisticMatrix<CContiguousView<const uint8>>::View &view, uint32 row, const PartialIndexVector &indices, StatisticType weight = 1)

Adds certain confusion matrix elements in a specific row of a view, whose positions are given as a CompleteIndexVector, to this vector. The confusion matrix elements to be added are multiplied by a specific weight.

Parameters:

  • view – A reference to an object of type DenseDecomposableStatisticMatrix<CContiguousView<const uint8>>::View that provides random access to the confusion matrices of the training examples

  • row – The index of the row to be added to this vector

  • indices – A reference to a PartialIndexVector that provides access to the indices

  • weight – The weight, the confusion matrix elements should be multiplied by

void addToSubset(const DenseDecomposableStatisticMatrix<BinaryCsrView>::View &view, uint32 row, const PartialIndexVector &indices, StatisticType weight = 1)

Adds certain confusion matrix elements in a specific row of a view, whose positions are given as a CompleteIndexVector, to this vector. The confusion matrix elements to be added are multiplied by a specific weight.

Parameters:

  • view – A reference to an object of type DenseDecomposableStatisticMatrix<BinaryCsrView>::View that provides row-wise access to the labels of the training examples

  • row – The index of the row to be added to this vector

  • indices – A reference to a PartialIndexVector that provides access to the indices

  • weight – The weight, the confusion matrix elements should be multiplied by

void difference(typename View<ConfusionMatrix<StatisticType>>::const_iterator firstBegin, typename View<ConfusionMatrix<StatisticType>>::const_iterator firstEnd, const CompleteIndexVector &firstIndices, typename View<ConfusionMatrix<StatisticType>>::const_iterator secondBegin, typename View<ConfusionMatrix<StatisticType>>::const_iterator secondEnd)

Sets the confusion matrix elements in this vector to the difference first - second between the elements in two other vectors, considering only the elements in the first vector that correspond to the positions provided by a CompleteIndexVector.

Parameters:

  • firstBegin – A const_iterator to the beginning of the first vector

  • firstEnd – A const_iterator to the end of the first vector

  • firstIndices – A reference to an object of type CompleteIndexVector that provides access to the indices

  • secondBegin – A const_iterator to the beginning of the second vector

  • secondEnd – A const_iterator to the end of the second vector

void difference(typename View<ConfusionMatrix<StatisticType>>::const_iterator firstBegin, typename View<ConfusionMatrix<StatisticType>>::const_iterator firstEnd, const PartialIndexVector &firstIndices, typename View<ConfusionMatrix<StatisticType>>::const_iterator secondBegin, typename View<ConfusionMatrix<StatisticType>>::const_iterator secondEnd)

Sets the confusion matrix elements in this vector to the difference first - second between the elements in two other vectors, considering only the elements in the first vector that correspond to the positions provided by a PartialIndexVector.

Parameters:

  • firstBegin – A const_iterator to the beginning of the first vector

  • firstEnd – A const_iterator to the end of the first vector

  • firstIndices – A reference to an object of type PartialIndexVector that provides access to the indices

  • secondBegin – A const_iterator to the beginning of the second vector

  • secondEnd – A const_iterator to the end of the second vector