All functions
|
ANMM()
|
Average Neighborhood Margin Maximization (ANMM). |
DMLMJ()
|
Distance Metric Learning through the Maximization of the Jeffrey divergence (DMLMJ). |
DML_eig()
|
Distance Metric Learning with Eigenvalue Optimization (DML-eig). |
Euclidean()
|
Euclidean distance. |
ITML()
|
Information Theoretic Metric Learning (ITML). |
KANMM()
|
The kernelized version of ANMM. |
KDA()
|
Kernel Discriminant Analysis (KDA). |
KDMLMJ()
|
The kernelized version of DMLMJ. |
KLMNN()
|
The kernelized version of LMNN. |
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). |
NCMC_Classifier()
|
Nearest Class with Multiple Centroids classifier. |
NCMML()
|
Nearest Class Mean Metric Learning (NCMML). |
PCA()
|
Principal Component Analysis (PCA). |
Transformer()
|
Basic learning from a transformer. |
all_dmls
|
The complete Distance Metric Learning algorithms list. |
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 dimensionality reduction. |
distance_clf
|
The distance classifiers global list. |
dml
|
The DML global list. |
dml_multiplot()
|
Multiple DML plotting. |
dml_plotter
|
The tune algorithms global list. |
dml_tune
|
The tune algorithms global list. |
generic_dmls
|
Generic Distance Metric Learning algorithms. |
information_theory_based_dmls
|
The Distance Metric Learning algorithms based on information theory. |
kNN()
|
k-Nearest Neighbors (kNN). |
kernel_dmls
|
Kernel Distance Metric Learning algorithms. |
knn_oriented_dmls
|
The Distance Metric Learning algorithms oriented to k-NN classifier. |
knn_pairplots()
|
DML pairplots with k-NN. |
knn_plot()
|
DML plots with k-NN. |
ncm_oriented_dmls
|
The Distance Metric Learning algorithms oriented to nearest centroids classifiers. |
non_supervised_dmls
|
Non supervised Distance Metric Learning algorithms. |
numeric.as.integer()
|
Converts every numeric item in the list to integer. |
plotters
|
Plot functions for Distance Metric Learning. |
rinitialize()
|
R DML objects initializer. |
rinitialize_clf()
|
R classifiers initializer. |
supervised_dmls
|
Supervised Distance Metric Learning algorithms. |
tune()
|
DML Tuning. |
tune_knn()
|
DML Tuning with k-NN. |
tuners
|
Distance Metric Learning tune algorithms. |