wrapReweighter: Create a boostr compatible wrapper for a reweighter.
In boostr: A modular framework to bag or boost any estimation procedure.

Description Usage Arguments Value Reweighters References See Also

Use provided metadata on a given reweighter to create a boostr compatible wrapper.

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wrapReweighter(reweighter, reweighterInputPreds = "prediction",
  reweighterInputResponse = "response", reweighterInputWts = "weights",
  reweighterOutputWts = "weights", .verbose = FALSE)

`reweighter`	a function which satisfies the abstract definition of a reweighter (see description below).
`reweighterInputPreds`	a string indicating the name of the argument `reweighter` uses to represent the input predictions.
`reweighterInputResponse`	a string indicating the name of the argument `reweighter` uses to represent the true responses for the input predictions.
`reweighterInputWts`	a string indicating the name of the argument `reweighter` uses to represent the input weights.
`reweighterOutputWts`	a string indicating the name of the entry in `reweighter`'s output that represents the output weights.
`.verbose`	a boolean indicating if warnings should be displayed or not.

A function (wrapper around reweighter) which is a 'reweighter' object. The wrapper's signature is (prediction, response, weights, ...) and its output is a list that names the cell containing its weights 'weight'. Hence, the wrapper is a boostr compatible reweighter.

See the Reweighters section in the vignette vignette(topic = "boostr_user_inputs", package="boostr") for more details on reweighters.

Steven Pollack. (2014). Boost: a practical generalization of AdaBoost (Master's Thesis). http://pollackphoto.net/misc/masters_thesis.pdf

Other Wrapper Generators: buildEstimationProcedure; wrapAggregator; wrapPerformanceAnalyzer; wrapProcedure

boostr documentation built on May 2, 2019, 1:42 p.m.