| all_dmls | The complete Distance Metric Learning algorithms list. |
| ANMM | Average Neighborhood Margin Maximization (ANMM). |
| as.integer_or_null | Converts object to integer, preserving the NULL value. |
| as.numeric_or_null | Converts object to numeric, preserving the NULL value. |
| as.type_or_null | Converts object to certain type, preserving the NULL value. |
| base_dmls | Base Distance Metric Learning algorithms. |
| classifiers | Distance based classifiers. |
| console.log | Console log |
| dimensionality_reduction_dmls | The Distance Metric Learning algorithms oriented to... |
| distance_clf | The distance classifiers global list. |
| dml | The DML global list. |
| DML_eig | Distance Metric Learning with Eigenvalue Optimization... |
| DMLMJ | Distance Metric Learning through the Maximization of the... |
| dml_multiplot | Multiple DML plotting. |
| dml_plotter | The tune algorithms global list. |
| dml_tune | The tune algorithms global list. |
| Euclidean | Euclidean distance. |
| generic_dmls | Generic Distance Metric Learning algorithms. |
| information_theory_based_dmls | The Distance Metric Learning algorithms based on information... |
| ITML | Information Theoretic Metric Learning (ITML). |
| KANMM | The kernelized version of ANMM. |
| KDA | Kernel Discriminant Analysis (KDA). |
| KDMLMJ | The kernelized version of DMLMJ. |
| kernel_dmls | Kernel Distance Metric Learning algorithms. |
| KLMNN | The kernelized version of LMNN. |
| kNN | k-Nearest Neighbors (kNN). |
| knn_oriented_dmls | The Distance Metric Learning algorithms oriented to k-NN... |
| knn_pairplots | DML pairplots with k-NN. |
| knn_plot | DML plots with k-NN. |
| LDA | Linear Discriminant Analysis (LDA). |
| LDML | Logistic Discriminant Metric Learning (LDML). |
| LMNN | Large Margin Nearest Neighbors (LMNN). |
| LSI | Learning with Side Information (LSI). |
| MCML | Maximally Collapsing Metric Learning (MCML). |
| Metric | Basic learning from a metric. |
| MultiDML_kNN | Multi-DML k-NN |
| NCA | Neighborhood Component Analysis (NCA). |
| NCMC | Nearest Class with Multiple Centroids distance metric learner... |
| NCMC_Classifier | Nearest Class with Multiple Centroids classifier. |
| NCMML | Nearest Class Mean Metric Learning (NCMML). |
| ncm_oriented_dmls | The Distance Metric Learning algorithms oriented to nearest... |
| non_supervised_dmls | Non supervised Distance Metric Learning algorithms. |
| numeric.as.integer | Converts every numeric item in the list to integer. |
| PCA | Principal Component Analysis (PCA). |
| plotters | Plot functions for Distance Metric Learning. |
| rinitialize | R DML objects initializer. |
| rinitialize_clf | R classifiers initializer. |
| supervised_dmls | Supervised Distance Metric Learning algorithms. |
| Transformer | Basic learning from a transformer. |
| tune | DML Tuning. |
| tune_knn | DML Tuning with k-NN. |
| tuners | Distance Metric Learning tune algorithms. |
