ClusteringMicrobenchmark {RHPCBenchmark} | R Documentation |
This class specifies a clustering for machine learning microbenchmark.
Description
This class specifies a clustering for machine learning microbenchmark.
Fields
active
a logical indicating whether the microbenchmark is to be executed (TRUE) or not (FALSE).
benchmarkName
a character string that is the name of the microbenchmark.
benchmarkDescription
a character string describing the microbenchmark.
dataObjectName
a character string specifying the name of the data object that is input to the benchmark; the object must be stored in the R data file with the same base name and a
.RData
extension. Setting the field toNA_character_
indicates that the test data will be dynamically generated by the function given in theallocatorFunction
field instead of read from a data file.numberOfFeatures
the number features; this value must match the number of features in the data set given by the field
dataObjectName
unless the field is populated withNA_character_
.numberOfClusters
the number of clusters in the data set; this value must match the number of clusters in the data set given by the field
dataObjectName
unless the field is populated withNA_character_
.numberOfFeatureVectorsPerCluster
the number of feature vectors per cluster; this value must match the number of clusters in the data set given by the field
dataObjectName
unless the field is populated withNA_character_
.numberOfTrials
an integer specifying the number of performance trials conducted on the data set to be tested.
numberOfWarmupTrials
an integer specifying the number of warmup trials to be conducted on the data set.
allocatorFunction
the function that allocates and initializes input to the benchmark function. The function takes a
ClusteringMicrobenchmark
object. For clustering benchmarks, the allocator function should return a list containing the following items:- featureVectors
a matrix, the rows of which are the feature vectors
- numberOfFeatures
an integer indicating the number of features
- numberOfFeatureVectors
an integer indicating the number of feature vectors
- numberOfClusters
an integer indicating the number of clusters in the data set
benchmarkFunction
the benchmark function which executes the functionality to be timed. The function takes a
SparseMatrixMicrobenchmark
and a list of kernel parameters returned by the allocator function.