plotPartialDependenceGGVIS: Plot a partial dependence using ggvis.

In riebetob/mlr: Machine Learning in R

Description

Plot partial dependence from generatePartialDependenceData using ggvis.

Usage

plotPartialDependenceGGVIS(obj, interact = NULL, p = 1)

Arguments

obj	[PartialDependenceData] Generated by generatePartialDependenceData.
interact	[character(1)] The name of a feature to be mapped to an interactive sidebar using Shiny. This feature must have been an element of the features argument to generatePartialDependenceData and is only applicable when said argument had length greater than 1. If generatePartialDependenceData is called with the interaction argument FALSE (the default) with argument features of length greater than one, then interact is ignored and the feature displayed is controlled by an interactive side panel. Default is NULL.
p	[numeric(1)] If individual = TRUE then sample allows the user to sample without replacement from the output to make the display more readable. Each row is sampled with probability p. Default is 1.

Value

a ggvis plot object.

See Also

Other partial_dependence: generatePartialDependenceData, plotPartialDependence

Other plot: plotBMRBoxplots, plotBMRRanksAsBarChart, plotBMRSummary, plotCalibration, plotCritDifferences, plotFilterValuesGGVIS, plotLearningCurveGGVIS, plotLearningCurve, plotPartialDependence, plotROCCurves, plotResiduals, plotThreshVsPerfGGVIS, plotThreshVsPerf

riebetob/mlr documentation built on May 20, 2019, 5:58 p.m.