#include <cuvs/distance/distance.hpp>
#include <cstdint>

Include dependency graph for metrics.hpp:

Namespaces
	raft

	ML

	ML::Metrics

	ML::Metrics::Batched

Functions
float	ML::Metrics::r2_score_py (const raft::handle_t &handle, float y, float y_hat, int n)

double	ML::Metrics::r2_score_py (const raft::handle_t &handle, double y, double y_hat, int n)

double	ML::Metrics::rand_index (const raft::handle_t &handle, double y, double y_hat, int n)

double	ML::Metrics::silhouette_score (const raft::handle_t &handle, double y, int nRows, int nCols, int labels, int nLabels, double *silScores, cuvs::distance::DistanceType metric)

float	ML::Metrics::Batched::silhouette_score (const raft::handle_t &handle, float X, int n_rows, int n_cols, int y, int n_labels, float *scores, int chunk, cuvs::distance::DistanceType metric)

double	ML::Metrics::Batched::silhouette_score (const raft::handle_t &handle, double X, int n_rows, int n_cols, int y, int n_labels, double *scores, int chunk, cuvs::distance::DistanceType metric)

double	ML::Metrics::kl_divergence (const raft::handle_t &handle, const double y, const double y_hat, int n)

float	ML::Metrics::kl_divergence (const raft::handle_t &handle, const float y, const float y_hat, int n)

double	ML::Metrics::entropy (const raft::handle_t &handle, const int *y, const int n, const int lower_class_range, const int upper_class_range)

double	ML::Metrics::mutual_info_score (const raft::handle_t &handle, const int y, const int y_hat, const int n, const int lower_class_range, const int upper_class_range)

double	ML::Metrics::homogeneity_score (const raft::handle_t &handle, const int y, const int y_hat, const int n, const int lower_class_range, const int upper_class_range)

double	ML::Metrics::completeness_score (const raft::handle_t &handle, const int y, const int y_hat, const int n, const int lower_class_range, const int upper_class_range)

double	ML::Metrics::v_measure (const raft::handle_t &handle, const int y, const int y_hat, const int n, const int lower_class_range, const int upper_class_range, double beta)

float	ML::Metrics::accuracy_score_py (const raft::handle_t &handle, const int predictions, const int ref_predictions, int n)

void	ML::Metrics::pairwise_distance (const raft::handle_t &handle, const double x, const double y, double *dist, int m, int n, int k, cuvs::distance::DistanceType metric, bool isRowMajor=true, double metric_arg=2.0)
	Calculates the ij pairwise distances between two input arrays of double type. More...

void	ML::Metrics::pairwise_distance (const raft::handle_t &handle, const float x, const float y, float *dist, int m, int n, int k, cuvs::distance::DistanceType metric, bool isRowMajor=true, float metric_arg=2.0f)
	Calculates the ij pairwise distances between two input arrays of float type. More...

void	ML::Metrics::pairwiseDistance_sparse (const raft::handle_t &handle, double x, double y, double dist, int x_nrows, int y_nrows, int n_cols, int x_nnz, int y_nnz, int x_indptr, int y_indptr, int x_indices, int *y_indices, cuvs::distance::DistanceType metric, float metric_arg)

void	ML::Metrics::pairwiseDistance_sparse (const raft::handle_t &handle, float x, float y, float dist, int x_nrows, int y_nrows, int n_cols, int x_nnz, int y_nnz, int x_indptr, int y_indptr, int x_indices, int *y_indices, cuvs::distance::DistanceType metric, float metric_arg)

template<typename math_t , cuvs::distance::DistanceType distance_type>
double	ML::Metrics::trustworthiness_score (const raft::handle_t &h, const math_t X, math_t X_embedded, int n, int m, int d, int n_neighbors, int batchSize=512)
	Compute the trustworthiness score. More...


double	ML::Metrics::adjusted_rand_index (const raft::handle_t &handle, const int64_t y, const int64_t y_hat, const int64_t n)

double	ML::Metrics::adjusted_rand_index (const raft::handle_t &handle, const int y, const int y_hat, const int n)

Namespaces

Functions