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# Method Implementation Documentation
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Here you can find all the documentation sites for the implemented mlpack methods of this libraray.
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In the project they can be found under :
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`/src/methods/name_of_method`
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<span dir="">When selecting and naming the methods i tried to follow the scheme of the python mlpack documentation.</span>
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# Prolog Methods
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## Classification
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* [x] [Adaboost](https://gitlab.cs.uni-duesseldorf.de/stups/abschlussarbeiten/prolog-mlpack-libary/-/wikis/PrologMethods/adaboost#adaboost)
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* [ ] Decision_Stump
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* [x] Decision_Tree
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* [x] Hoeffding_Tree
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* [x] Linear_SVM
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* [x] Logistic_Regression
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* [x] NBC
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* [x] Perceptron
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* [x] Random_Forest
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* [x] Softmax_Regression
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## Regression
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* [x] Bayesian_Linear_Regression
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* [x] Lars
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* [x] Linear_Regression
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## Clustering
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* [x] DBScan
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* [ ] GMM
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* [x] KMeans
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* [x] Mean_Shift
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## Geometry
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* [x] Approx_KFN
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* [x] EMST
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* [x] FastMKS
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* [x] LSH
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* [x] KNN
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* [x] KFN
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* [ ] KRANN
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## Preproccessing
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* [ ] <span dir="">Preproccess_Split</span>
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* [ ] <span dir="">Preproccess_Binarize</span>
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* [ ] <span dir="">Preproccess_Describe</span>
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* [ ] <span dir="">Preproccess_Scale</span>
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* [ ] <span dir="">Preproccess_One_Hot_Encoding</span>
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* [ ] <span dir="">Image_Converter</span>
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## Misc. /other
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* [ ] CF
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* [ ] DET
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* [ ] HMM
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* [x] KDE
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* [x] NMF
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## Transformation
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* [x] Kernel_PCA
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* [x] LMNN
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* [x] Local_Coordinate_Coding
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* [x] NCA
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* [x] PCA
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* [x] Radical
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* [x] Sparse_Coding |
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\ No newline at end of file |