A set of results returned by GPUdb::aggregateKMeans. More...

#include <gpudb/protocol/aggregate_k_means.h>

Public Member Functions
	AggregateKMeansResponse ()
	Constructs an AggregateKMeansResponse object with default parameters. More...

Public Attributes
std::vector< std::vector< double > >	means
	The k-mean values found. More...

std::vector< int64_t >	counts
	The number of elements in the cluster closest the corresponding k-means values. More...

std::vector< double >	rmsDists
	The root mean squared distance of the elements in the cluster for each of the k-means values. More...

int64_t	count
	The total count of all the clusters - will be the size of the input table. More...

double	rmsDist
	The sum of all the rms_dists - the value the k-means algorithm is attempting to minimize. More...

double	tolerance
	The distance between the last two iterations of the algorithm before it quit. More...

int32_t	numIters
	The number of iterations the algorithm executed before it quit. More...

std::map< std::string, std::string >	info
	Additional information. More...

Detailed Description

A set of results returned by GPUdb::aggregateKMeans.

Definition at line 339 of file aggregate_k_means.h.

Constructor & Destructor Documentation

◆ AggregateKMeansResponse()

gpudb::AggregateKMeansResponse::AggregateKMeansResponse ( )

inline

Constructs an AggregateKMeansResponse object with default parameters.

Definition at line 345 of file aggregate_k_means.h.

Member Data Documentation

◆ count

int64_t gpudb::AggregateKMeansResponse::count

The total count of all the clusters - will be the size of the input table.

Definition at line 378 of file aggregate_k_means.h.

◆ counts

std::vector<int64_t> gpudb::AggregateKMeansResponse::counts

The number of elements in the cluster closest the corresponding k-means values.

Definition at line 366 of file aggregate_k_means.h.

◆ info

std::map<std::string, std::string> gpudb::AggregateKMeansResponse::info

Additional information.

aggregate_k_means_qualified_result_table_name: The fully qualified name of the result table (i.e. including the schema) used to store the results.

The default value is an empty map.

Definition at line 407 of file aggregate_k_means.h.

◆ means

std::vector<std::vector<double> > gpudb::AggregateKMeansResponse::means

The k-mean values found.

Definition at line 360 of file aggregate_k_means.h.

◆ numIters

int32_t gpudb::AggregateKMeansResponse::numIters

The number of iterations the algorithm executed before it quit.

Definition at line 395 of file aggregate_k_means.h.

◆ rmsDist

double gpudb::AggregateKMeansResponse::rmsDist

The sum of all the rms_dists - the value the k-means algorithm is attempting to minimize.

Definition at line 384 of file aggregate_k_means.h.

◆ rmsDists

std::vector<double> gpudb::AggregateKMeansResponse::rmsDists

The root mean squared distance of the elements in the cluster for each of the k-means values.

Definition at line 372 of file aggregate_k_means.h.

◆ tolerance

double gpudb::AggregateKMeansResponse::tolerance

The distance between the last two iterations of the algorithm before it quit.

Definition at line 390 of file aggregate_k_means.h.

The documentation for this struct was generated from the following file:

gpudb/protocol/aggregate_k_means.h

Public Member Functions

Public Attributes