View source: R/ModelInsights.R
ModelInsightsReport | R Documentation |
ModelInsightsReport is an Rmarkdown report for viewing the model insights generated by AutoQuant supervised learning functions
ModelInsightsReport(
TrainDataInclude = FALSE,
FeatureColumnNames = NULL,
SampleSize = 1e+05,
ModelObject = NULL,
ModelID = "ModelTest",
SourcePath = NULL,
OutputPath = NULL,
KeepOutput = NULL,
GlobalVars = ls()
)
TrainDataInclude |
Default FALSE. If FALSE, no derived visuals or metrics for TrainData |
FeatureColumnNames |
NULL. Feature column names as character vector. |
SampleSize |
Default 100000 |
ModelObject |
Returned output from regression, classificaiton, and multiclass Remix Auto_() models. Currenly supports CatBoost, XGBoost, and LightGBM models |
ModelID |
ModelID used in the AutoQuant supervised learning function |
SourcePath |
Path to directory with AutoQuant Model Output |
OutputPath |
Path to directory where the html will be saved |
KeepOutput |
NULL A list of output names to select. Pass in as a character vector. E.g. c('Test_VariableImportance', 'Train_VariableImportance') |
GlobalVars |
ls() don't use |
Adrian Antico
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