Function reference
-
feature_importance()
- Feature Importance
-
pipe_keras()
- Neural network model with keras
-
pipe_keras_timeseries()
- Neural network model with keras
-
pipe_randomForest()
- Random forest model with randomForest
-
pipe_xgboost()
- eXtrem Gradient Boosted models
-
plotVI.pipe_result()
- plotVI.pipe_result
-
predict_keras()
- Predict with keras
-
predict_randomForest()
- Predict with randomForest
-
predict_xgboost()
- Predict with xgboost
-
summary(<pipe_result>)
- summary.pipe_result
-
longToWide.ts()
wideToLong.ts()
wideTo3Darray.ts()
longTo3Darray.ts()
- Time series format transformations
-
variableImportance()
variableImportance()
variableImportance()
- Variable importance by permutations on predictors