14 #ifndef __MLPACK_CORE_TREE_COSINE_TREE_COSINE_TREE_HPP 15 #define __MLPACK_CORE_TREE_COSINE_TREE_COSINE_TREE_HPP 18 #include <boost/heap/priority_queue.hpp> 24 class CompareCosineNode;
28 typedef boost::heap::priority_queue<
CosineTree*,
53 CosineTree(CosineTree& parentNode,
const std::vector<size_t>& subIndices);
89 arma::vec& newBasisVector,
90 arma::vec* addBasisVector = NULL);
105 CosineNodeQueue& treeQueue,
106 arma::vec* addBasisVector1 = NULL,
107 arma::vec* addBasisVector2 = NULL);
130 arma::vec& probabilities,
size_t numSamples);
152 size_t BinarySearch(arma::vec& cDistribution,
double value,
size_t start,
253 bool operator() (
const CosineTree* a,
const CosineTree* b)
const void CalculateCosines(arma::vec &cosines)
Calculate cosines of the columns present in the node, with respect to the sampled splitting point...
CosineTree * left
Left child of the node.
double FrobNormSquared() const
Get the Frobenius norm squared of columns in the node.
std::vector< size_t > indices
Indices of columns of input matrix in the node.
Linear algebra utility functions, generally performed on matrices or vectors.
size_t SplitPointIndex() const
Get the column index of split point of the node.
size_t numColumns
Number of columns of input matrix in the node.
arma::vec l2NormsSquared
L2-norm squared of columns in the node.
void CosineNodeSplit()
This function splits the cosine node into two children based on the cosines of the columns contained ...
double MonteCarloError(CosineTree *node, CosineNodeQueue &treeQueue, arma::vec *addBasisVector1=NULL, arma::vec *addBasisVector2=NULL)
Estimates the squared error of the projection of the input node's matrix onto the current vector subs...
size_t splitPointIndex
Index of split point of cosine node.
void GetFinalBasis(arma::mat &finalBasis)
Returns the basis of the constructed subspace.
CosineTree * Right() const
Get pointer to the right child of the node.
CosineTree * Left() const
Get pointer to the left child of the node.
CosineTree *& Parent()
Modify the pointer to the parent node.
size_t ColumnSampleLS()
Sample a point from the Length-Squared distribution of the cosine node.
arma::vec centroid
Centroid of columns of input matrix in the node.
const arma::mat & dataset
Matrix for which cosine tree is constructed.
arma::vec & Centroid()
Get pointer to the centroid vector.
void ConstructBasis(CosineNodeQueue &treeQueue)
Constructs the final basis matrix, after the cosine tree construction.
~CosineTree()
Clean up the CosineTree: release allocated memory (including children).
CosineTree(const arma::mat &dataset)
CosineTree constructor for the root node of the tree.
void BasisVector(arma::vec &bVector)
Set the basis vector of the node.
size_t BinarySearch(arma::vec &cDistribution, double value, size_t start, size_t end)
Sample a column based on the cumulative Length-Squared distribution of the cosine node...
arma::vec & BasisVector()
Get the basis vector of the node.
void CalculateCentroid()
Calculate centroid of the columns present in the node.
size_t NumColumns() const
Get number of columns of input matrix in the node.
CosineTree * parent
Parent of the node.
Include all of the base components required to write MLPACK methods, and the main MLPACK Doxygen docu...
arma::vec basisVector
Orthonormalized basis vector of the node.
CosineTree * right
Right child of the node.
CosineTree *& Right()
Modify the pointer to the left child of the node.
const arma::mat & GetDataset() const
Get pointer to the dataset matrix.
void ModifiedGramSchmidt(CosineNodeQueue &treeQueue, arma::vec ¢roid, arma::vec &newBasisVector, arma::vec *addBasisVector=NULL)
Calculates the orthonormalization of the passed centroid, with respect to the current vector subspace...
boost::heap::priority_queue< CosineTree *, boost::heap::compare< CompareCosineNode > > CosineNodeQueue
double l2Error
Monte Carlo error for this node.
arma::mat basis
Subspace basis of the input dataset.
CosineTree *& Left()
Modify the pointer to the left child of the node.
double frobNormSquared
Frobenius norm squared of columns in the node.
void ColumnSamplesLS(std::vector< size_t > &sampledIndices, arma::vec &probabilities, size_t numSamples)
Sample 'numSamples' points from the Length-Squared distribution of the cosine node.
void L2Error(const double error)
Set the Monte Carlo error.
double L2Error() const
Get the Monte Carlo error.
CosineTree * Parent() const
Get pointer to the parent node.
std::vector< size_t > & VectorIndices()
Get the indices of columns in the node.
double delta
Cumulative probability for Monte Carlo error lower bound.