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