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