pyDML
latest
Current Algorithms:
Principal Component Analysis (PCA)
Linear Discriminant Analysis (LDA)
Average Neighborhood Margin Maximization (ANMM)
Local Linear Discriminant Analysis (LLDA)
Large Margin Nearest Neighbors (LMNN)
Neighborhood Component Analysis (NCA)
Nearest Class Mean Metric Learning (NCMML)
Nearest Class with Multiple Centroids (NCMC)
Information Theoretic Metric Learning (ITML)
Distance Metric Learning through the Maximization of the Jeffrey Divergence (DMLMJ)
Maximally Collapsing Metric Learning (MCML)
Learning with Side Information (LSI)
Distance Metric Learning with Eigenvalue Optimization (DML-eig)
Logistic Discriminant Metric Learning (LDML)
Kernel Large Margin Nearest Neighbors (KLMNN)
Kernel Average Neighborhood Margin Maximization (KANMM)
Kernel Distance Metric Learning through the Maximization of the Jeffrey divergence (KDMLMJ)
Kernel Discriminant Analysis (KDA)
Kernel Local Linear Discriminant Analysis (KLLDA)
Additional functionalities
Distance metric learning extensions for some Scikit-Learn classifiers
Distance metric and classifier plots
Tuning parameters
Overview
Package documentation - Indices and tables
dml
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Examples
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Stats
References
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Index
A
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C
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D
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E
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F
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G
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I
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K
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L
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M
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N
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P
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S
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T
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U
A
add() (dml.multidml_knn.MultiDML_kNN method)
ANMM (class in dml.anmm)
C
calc_outers() (in module dml.dml_utils)
calc_outers_i() (in module dml.dml_utils)
calc_outers_ij() (in module dml.dml_utils)
calc_regularized_outers() (in module dml.dml_utils)
calc_regularized_outers_i() (in module dml.dml_utils)
calc_regularized_outers_ij() (in module dml.dml_utils)
classifier_pairplots() (in module dml.dml_plot)
classifier_plot() (in module dml.dml_plot)
classifier_plot_3d() (in module dml.dml_plot)
Covariance (class in dml.base)
cross_validate() (in module dml.tune)
D
dml (module)
dml.anmm (module)
dml.base (module)
dml.dml_algorithm (module)
dml.dml_eig (module)
dml.dml_plot (module)
dml.dml_utils (module)
dml.dmlmj (module)
dml.itml (module)
dml.kda (module)
dml.knn (module)
dml.lda (module)
dml.ldml (module)
dml.llda (module)
dml.lmnn (module)
dml.lsi (module)
dml.mcml (module)
dml.multidml_knn (module)
dml.nca (module)
dml.ncmc (module)
dml.ncmml (module)
dml.pca (module)
dml.tune (module)
DML_Algorithm (class in dml.dml_algorithm)
DML_eig (class in dml.dml_eig)
dml_multiplot() (in module dml.dml_plot)
dml_pairplots() (in module dml.dml_plot)
dml_plot() (in module dml.dml_plot)
DMLMJ (class in dml.dmlmj)
dmls_string() (dml.multidml_knn.MultiDML_kNN method)
E
elapsed() (dml.multidml_knn.MultiDML_kNN method)
Euclidean (class in dml.base)
F
fD (dml.lsi.LSI attribute)
fD1 (dml.lsi.LSI attribute)
fit (dml.anmm.ANMM attribute)
(dml.anmm.KANMM attribute)
(dml.dml_eig.DML_eig attribute)
(dml.dmlmj.DMLMJ attribute)
(dml.dmlmj.KDMLMJ attribute)
(dml.itml.ITML attribute)
(dml.kda.KDA attribute)
(dml.lda.LDA attribute)
(dml.ldml.LDML attribute)
(dml.llda.KLLDA attribute)
(dml.llda.LLDA attribute)
(dml.lmnn.KLMNN attribute)
(dml.lmnn.LMNN attribute)
(dml.lsi.LSI attribute)
(dml.mcml.MCML attribute)
(dml.nca.NCA attribute)
(dml.ncmc.NCMC attribute)
(dml.ncmc.NCMC_Classifier attribute)
(dml.ncmml.NCMML attribute)
(dml.pca.PCA attribute)
fit() (dml.base.Covariance method)
(dml.base.Euclidean method)
(dml.base.Metric method)
(dml.base.Transformer method)
(dml.knn.kNN method)
(dml.multidml_knn.MultiDML_kNN method)
fS (dml.lsi.LSI attribute)
fS1 (dml.lsi.LSI attribute)
G
grad_projection (dml.lsi.LSI attribute)
I
ITML (class in dml.itml)
K
KANMM (class in dml.anmm)
KDA (class in dml.kda)
KDMLMJ (class in dml.dmlmj)
KernelDML_Algorithm (class in dml.dml_algorithm)
KLLDA (class in dml.llda)
KLMNN (class in dml.lmnn)
kNN (class in dml.knn)
knn_pairplots() (in module dml.dml_plot)
knn_plot() (in module dml.dml_plot)
L
label_to_similarity_set (dml.lsi.LSI attribute)
LDA (class in dml.lda)
LDML (class in dml.ldml)
LLDA (class in dml.llda)
LMNN (class in dml.lmnn)
local_scaling_affinity_matrix() (in module dml.dml_utils)
loo_pred() (dml.knn.kNN method)
loo_prob() (dml.knn.kNN method)
loo_score() (dml.knn.kNN method)
LSI (class in dml.lsi)
M
matpack() (in module dml.dml_utils)
MCML (class in dml.mcml)
metadata (dml.anmm.ANMM attribute)
(dml.dml_eig.DML_eig attribute)
(dml.dmlmj.DMLMJ attribute)
(dml.dmlmj.KDMLMJ attribute)
(dml.lda.LDA attribute)
(dml.ldml.LDML attribute)
(dml.llda.KLLDA attribute)
(dml.llda.LLDA attribute)
(dml.lmnn.KLMNN attribute)
(dml.lmnn.LMNN attribute)
(dml.lsi.LSI attribute)
(dml.mcml.MCML attribute)
(dml.nca.NCA attribute)
(dml.ncmc.NCMC attribute)
(dml.ncmml.NCMML attribute)
(dml.pca.PCA attribute)
metadata() (dml.dml_algorithm.DML_Algorithm method)
metadata_cross_validate() (in module dml.tune)
Metric (class in dml.base)
metric (dml.dml_eig.DML_eig attribute)
(dml.itml.ITML attribute)
(dml.ldml.LDML attribute)
(dml.lsi.LSI attribute)
(dml.mcml.MCML attribute)
metric() (dml.base.Covariance method)
(dml.base.Euclidean method)
(dml.base.Metric method)
(dml.dml_algorithm.DML_Algorithm method)
metric_sq_distance() (in module dml.dml_utils)
metric_to_linear() (in module dml.dml_utils)
MultiDML_kNN (class in dml.multidml_knn)
N
NCA (class in dml.nca)
NCMC (class in dml.ncmc)
NCMC_Classifier (class in dml.ncmc)
NCMML (class in dml.ncmml)
neighbors_affinity_matrix() (in module dml.dml_utils)
P
pairwise_sq_distances_from_dot() (in module dml.dml_utils)
PCA (class in dml.pca)
predict (dml.lmnn.LMNN attribute)
(dml.ncmc.NCMC_Classifier attribute)
predict() (dml.knn.kNN method)
predict_all() (dml.multidml_knn.MultiDML_kNN method)
predict_orig() (dml.knn.kNN method)
predict_proba() (dml.knn.kNN method)
predict_proba_all() (dml.multidml_knn.MultiDML_kNN method)
predict_proba_orig() (dml.knn.kNN method)
S
score() (dml.knn.kNN method)
score_all() (dml.multidml_knn.MultiDML_kNN method)
score_orig() (dml.knn.kNN method)
SDProject() (in module dml.dml_utils)
T
transform (dml.lda.LDA attribute)
(dml.pca.PCA attribute)
transform() (dml.base.Euclidean method)
(dml.dml_algorithm.DML_Algorithm method)
(dml.dml_algorithm.KernelDML_Algorithm method)
Transformer (class in dml.base)
transformer (dml.anmm.ANMM attribute)
(dml.anmm.KANMM attribute)
(dml.dmlmj.DMLMJ attribute)
(dml.dmlmj.KDMLMJ attribute)
(dml.kda.KDA attribute)
(dml.lda.LDA attribute)
(dml.llda.KLLDA attribute)
(dml.llda.LLDA attribute)
(dml.lmnn.KLMNN attribute)
(dml.nca.NCA attribute)
(dml.ncmc.NCMC attribute)
(dml.ncmml.NCMML attribute)
(dml.pca.PCA attribute)
transformer() (dml.base.Euclidean method)
(dml.base.Transformer method)
(dml.dml_algorithm.DML_Algorithm method)
tune() (in module dml.tune)
tune_knn() (in module dml.tune)
U
unroll() (in module dml.dml_utils)
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