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