benchmark: Benchmark experiment setup and execution

Description Usage Arguments Value See Also

View source: R/benchmark.R

Description

Function to execute benchmark experiments and to collect all data the package can analyze. For more sophisticated benchmark experiments we suggest the usage of the mlr package.

Usage

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benchmark(datasets, sampling, algorithms = NULL, performances = NULL,
  characteristics = NULL, test = NULL, test.burnin = 3, verbose = TRUE)

Arguments

datasets

List of data.frames

sampling

Sampling function, see benchmark-sampling.

algorithms

List of algorithms; i.e., functions which take a model formula and a data.frame to fit a model. Note that a predict function must be defined as well.

performances

List of performance measure functions; i.e., functions with arguments yhat and y. See, e.g., benchmark-comptime.

characteristics

DatasetCharacteristics object; e.g., StatlogCharacteristics

test

TestProcedure object

test.burnin

Number of burn-in replications

verbose

Show information during execution

Value

A warehouse object

See Also

warehouse, as.warehouse, benchmark-sampling, benchmark-comptime



benchmark documentation built on May 20, 2017, 3:05 a.m.
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