API for jmaspons/MLTools
Pipes and tools for machine learning
| Global functions | |
|---|---|
| bootstrap_train_test_validate | Source code |
| feature_importance | Man page Source code |
| feature_importance.default | Man page Source code |
| feature_importance.explainer | Man page Source code |
| feature_importance.multiinput | Source code |
| get_shap | Source code |
| kFold_train_test_validate | Source code |
| longTo3Darray.ts | Man page Source code |
| longToWide.ts | Man page Source code |
| performance_keras | Source code |
| performance_randomForest | Source code |
| performance_xgboost | Source code |
| pipe_keras | Man page Source code |
| pipe_keras_timeseries | Man page Source code |
| pipe_randomForest | Man page Source code |
| pipe_xgboost | Man page Source code |
| plotVI.pipe_result | Man page Source code |
| predict_keras | Man page |
| predict_randomForest | Man page |
| predict_xgboost | Man page |
| print.pipe_result | Source code |
| print.summary.pipe_result | Source code |
| subset_train_test_validate | Source code |
| summarize_pred | Source code |
| summarize_pred.Raster | Source code |
| summarize_pred.default | Source code |
| summary.pipe_result | Man page Source code |
| train_keras | Source code |
| transformTS | Man page |
| variableImportance | Man page Source code Source code Source code |
| variableResponse_explainer | Source code Source code |
| variableResponse_keras | Source code |
| weight.class | Source code |
| wideTo3Darray.ts | Man page Source code |
| wideToLong.ts | Man page Source code |
