regressoR.learnForExport: Learn a Model for Export

In thomasWeise/regressoR: An R Package for Fitting Models to 2-Dimensional (x-y) Data

Description

A version of the regressoR.learn function which prepares the result as instance of RegressionResult by stripping down all but the essential information (and potentially storing the original quality metric). The returned list is suitable for export into a file and import via batch processing.

Usage

regressoR.learnForExport(x, y, learners = regressoR.defaultLearners(),
  representations = Transformation.applyDefault2D(x = x, y = y, addIdentity =
  TRUE), metricGenerator = RegressionQualityMetric.default, q = 0.75,
  includeMetric = TRUE)

Arguments

x	the x coordinates, i.e., the input values
y	the y coordinates, i.e., the output values
learners	the learners to apply
representations	the list of data representations, or NULL if fitting should take place only on the raw data
metricGenerator	the metric generator function
q	the effort parameter: 0=minimum effort=fast/low quality, 1=maximum effort=slow=highest quality
includeMetric	should be the quality function to rate models be stored in the list as well?

Value

an instance of RegressionResult

See Also

regressoR.batchLearn

thomasWeise/regressoR documentation built on May 9, 2019, 8:12 p.m.