Man pages for azizka/IUCNN
Neural Networks to Approximate IUCN Red List Conservation Assessments
| iucnn_best_model | Select the Best Model After Model-testing |
| iucnn_bias_features | Extract Bias Features from Occurrence Records |
| iucnn_biome_features | Obtain Biome Features from Occurrence Records |
| iucnn_climate_features | Extract Climatic Features from Occurrence Records |
| iucnn_cnn_features | Prepare Features for a CNN model |
| iucnn_cnn_train | Train a CNN model |
| iucnn_feature_importance | Evaluate relative importance of training features |
| iucnn_footprint_features | Extract Human Footprint Index Features from Occurrence... |
| iucnn_geography_features | Extract Geographic Features from Occurrence Records |
| iucnn_modeltest | Model-Testing IUCNN Models using Cross-Validation... |
| IUCNN-package | Neural Networks to Approximate IUCN Red List Conservation... |
| iucnn_phylogenetic_features | Extract Phylogenetic Features Based on Phylogenetic... |
| iucnn_predict_status | Predict IUCN Categories from Features |
| iucnn_prepare_features | Prepare features for an IUCNN model |
| iucnn_prepare_labels | Format IUCN Red List categories for IUCNN |
| iucnn_prepare_phy | Prepare Phylogenetic Eigenvectors to Extract Phylogenetic... |
| iucnn_train_model | Train an IUCNN Model |
| prediction_occ | Geographic Occurrence Records for Not Evaluated Orchids |
| training_labels | IUCN threat categories for 884 orchid species |
| training_occ | Geographic Occurrence Records for Orchids with IUCN... |
