warehouse: Benchmark experiment warehouse.
Description
Benchmark experiment warehouse.Usage
warehouse(datasets, B, algorithms, performances, characteristics, tests)
Arguments
datasets
Names of the datasets
B
Number of benchmark runs
algorithms
Names of the candidate algorithms
performances
Names of the performance measures
characteristics
Names of the dataset characteristics
tests
Names of the monitored test measures
Value
- Proto object with different views (see Details).
Details
warehouse is the constructor function for a benchmark experiment
warehouse.
A benchmark experiment warehouse collects all data during a benchmark
experiment (benchmark is a proof-of-concept implementation).
Different views (based on the collected data) provide cleaned parts
of the data for further analyses.
Implemented views:
viewAlgorithmPerformance(): returns a data frame (S3
classAlgorithmPerformance) with columnssamples,
datasets, algorithms, performances(factors with the corresponding
levels) and the columnvaluewith the corresponding
performance value.viewDatasetCharacterization(): returns a data frame
(S3 classDatasetCharacterization) with columnssamples,
datasets, characteristics, value.viewDatasetBasisCharacterization(): returns a data
frame (S3 classDatasetBasisCharacterization) with columnsdatasets, characteristics, value.viewTestResult(): returns a data frame (S3 classTestResult) with columnssamples, datasets, tests, value.