This function automatically builds partial dependence calibration plots
Plot.PartialDependence.HeatMap(
dt = NULL,
XVar = NULL,
YVar = NULL,
ZVar = NULL,
GroupVar = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
ZVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
NumberBins = 21,
AggMethod = "mean",
Height = NULL,
Width = NULL,
Title = "Partial Dependence Heatmap",
ShowLabels = FALSE,
MouseScroll = TRUE,
Title.YAxis = NULL,
Title.XAxis = NULL,
EchartsTheme = "macarons",
EchartsLabels = FALSE,
TimeLine = TRUE,
TextColor = "white",
Debug = FALSE
)
plot
source data.table
X-Axis variable name
Y-Axis variable name
character
Character variable
"Asinh", "Log", "LogPlus1", "Sqrt", "Asin", "Logit", "PercRank", "Standardize", "BoxCox", "YeoJohnson"
"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
character
"400px"
"200px"
character
character
logical, zoom via mouse scroll
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"
character
logical
hex character
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.Line()
,
Plot.ROC()
,
Plot.Residuals.Histogram()
,
Plot.Residuals.Scatter()
,
Plot.ShapImportance()
,
Plot.VariableImportance()