Residuals Plot
Plot.Residuals.Histogram(
dt = NULL,
AggMethod = "mean",
SampleSize = 1e+05,
XVar = NULL,
YVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
NumberBins = 20,
Height = NULL,
Width = NULL,
Title = "Residuals Histogram",
ShowLabels = FALSE,
Title.YAxis = NULL,
Title.XAxis = "Target - Predicted",
EchartsTheme = "macarons",
MouseScroll = TRUE,
TimeLine = FALSE,
TextColor = "white",
title.fontSize = 22,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 3,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 14,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
)
plot
source data.table
character
numeric
X-Axis variable name
Y-Axis variable name
Character variable
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson"
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson"
Defaults to 1 which causes no faceting to occur vertically. Otherwise, supply a numeric value for the number of output grid rows
Defaults to 1 which causes no faceting to occur horizontally. Otherwise, supply a numeric value for the number of output grid columns
Faceting rows x columns is the max number of levels allowed in a grid. If your GroupVar has more you can supply the levels to display.
numeric
"400px"
"200px"
character
character
character
character
"auritus","azul","bee-inspired","blue","caravan","carp","chalk","cool","dark-bold","dark","eduardo", #' "essos","forest","fresh-cut","fruit","gray","green","halloween","helianthus","infographic","inspired", #' "jazz","london","dark","macarons","macarons2","mint","purple-passion","red-velvet","red","roma","royal", #' "sakura","shine","tech-blue","vintage","walden","wef","weforum","westeros","wonderland"
logical, zoom via mouse scroll
logical
Not Implemented
22
"bold"
'#63aeff'
3
1
-1
14
14
0
0
TRUE
Debugging purposes
Adrian Antico
Other Model Evaluation:
Plot.BinaryMetrics()
,
Plot.Calibration.Box()
,
Plot.Calibration.Line()
,
Plot.ConfusionMatrix()
,
Plot.Gains()
,
Plot.Lift()
,
Plot.PartialDependence.Box()
,
Plot.PartialDependence.HeatMap()
,
Plot.PartialDependence.Line()
,
Plot.ROC()
,
Plot.Residuals.Scatter()
,
Plot.ShapImportance()
,
Plot.VariableImportance()