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. |
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