plotLearningCurve(obj, facet = "measure", pretty.names = TRUE, facet.wrap.nrow = NULL, facet.wrap.ncol = NULL)
LearningCurveData
]
Result of generateLearningCurveData
, with class LearningCurveData
.character(1)
]
Selects measure or learner to be the facetting variable.
The variable mapped to facet
must have more than one unique value, otherwise it will
be ignored. The variable not chosen is mapped to color if it has more than one unique value.
The default is measure.logical(1)
]
Whether to use the Measure
name instead of the id in the plot.
Default is TRUE
.integer()
]
Number of rows and columns for facetting. Default for both is NULL
.
In this case ggplot's facet_wrap
will choose the layout itself.generateLearningCurveData
,
plotLearningCurveGGVIS
Other plot: plotBMRBoxplots
,
plotBMRRanksAsBarChart
,
plotBMRSummary
,
plotCalibration
,
plotCritDifferences
,
plotFilterValuesGGVIS
,
plotFilterValues
,
plotLearningCurveGGVIS
,
plotPartialDependenceGGVIS
,
plotPartialDependence
,
plotROCCurves
,
plotThreshVsPerfGGVIS
,
plotThreshVsPerf