# Generated by roxygen2: do not edit by hand

S3method(add_sparklines,vi)
S3method(vi,Learner)
S3method(vi,WrappedModel)
S3method(vi,default)
S3method(vi,model_fit)
S3method(vi_firm,default)
S3method(vi_model,C5.0)
S3method(vi_model,H2OBinomialModel)
S3method(vi_model,H2OMultinomialModel)
S3method(vi_model,H2ORegressionModel)
S3method(vi_model,Learner)
S3method(vi_model,RandomForest)
S3method(vi_model,WrappedModel)
S3method(vi_model,cforest)
S3method(vi_model,constparty)
S3method(vi_model,cubist)
S3method(vi_model,cv.glmnet)
S3method(vi_model,default)
S3method(vi_model,earth)
S3method(vi_model,gbm)
S3method(vi_model,glmnet)
S3method(vi_model,lm)
S3method(vi_model,ml_model_decision_tree_classification)
S3method(vi_model,ml_model_decision_tree_regression)
S3method(vi_model,ml_model_gbt_classification)
S3method(vi_model,ml_model_gbt_regression)
S3method(vi_model,ml_model_generalized_linear_regression)
S3method(vi_model,ml_model_linear_regression)
S3method(vi_model,ml_model_random_forest_classification)
S3method(vi_model,ml_model_random_forest_regression)
S3method(vi_model,mlp)
S3method(vi_model,model_fit)
S3method(vi_model,mvr)
S3method(vi_model,nn)
S3method(vi_model,nnet)
S3method(vi_model,randomForest)
S3method(vi_model,ranger)
S3method(vi_model,rpart)
S3method(vi_model,train)
S3method(vi_model,xgb.Booster)
S3method(vi_permute,default)
S3method(vi_shap,default)
S3method(vip,default)
S3method(vip,model_fit)
export("%>%")
export("%T>%")
export(add_sparklines)
export(gen_friedman)
export(grid.arrange)
export(list_metrics)
export(metric_accuracy)
export(metric_auc)
export(metric_error)
export(metric_logLoss)
export(metric_mae)
export(metric_mauc)
export(metric_mse)
export(metric_rmse)
export(metric_rsquared)
export(metric_sse)
export(vi)
export(vi_firm)
export(vi_ice)
export(vi_model)
export(vi_pdp)
export(vi_permute)
export(vi_shap)
export(vint)
export(vip)
importFrom(gridExtra,grid.arrange)
importFrom(magrittr,"%>%")
importFrom(magrittr,"%T>%")
