benchmark: Benchmark experiment setup and execution

Description Usage Arguments Value See Also

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



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