Extensible, Parallelizable Implementation of the Random Forest
Algorithm
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Documentation for package ‘Rborist’ version 0.3-11
Help Pages
| expandfe | Expands forest values into front-end readable vectors. |
| expandfe.default | Expands forest values into front-end readable vectors. |
| Export | Exportation Format for rfArb Training Output |
| Export.default | Exportation Format for rfArb Training Output |
| forestWeight | Meinshausen forest weights |
| forestWeight.default | Meinshausen forest weights |
| predict.arbTrain | predict method for arbTrain result |
| predict.rfArb | predict method for rfArb result |
| preformat | Preformatting for Training with Warm Starts |
| preformat.default | Preformatting for Training with Warm Starts |
| presample | Forest-wide Observation Sampling |
| presample.default | Forest-wide Observation Sampling |
| Rborist | Rapid Decision Tree Construction and Evaluation |
| Rborist.default | Rapid Decision Tree Construction and Evaluation |
| RboristNews | NEWS Displayer for Rborist |
| rfArb | Rapid Decision Tree Construction and Evaluation |
| rfArb.default | Rapid Decision Tree Construction and Evaluation |
| rfTrain | Rapid Decision Tree Training |
| rfTrain.default | Rapid Decision Tree Training |
| Streamline | Reducing Memory Footprint of Trained Decision Forest |
| Streamline.rfArb | Reducing Memory Footprint of Trained Decision Forest |
| validate | Separate Validation of Trained Decision Forest |
| validate.default | Separate Validation of Trained Decision Forest |