GitHub - osval78/SKM_Library_Examples: Here are available a manual for the use of the SKM library with code and many examples

Name		Name	Last commit message	Last commit date
Latest commit History 25 Commits
1. Generalized Regression.rar		1. Generalized Regression.rar
2. Bayesian Regression Methods.rar		2. Bayesian Regression Methods.rar
3. Random Forest Methods.rar		3. Random Forest Methods.rar
4. Generalized Boosted Machines Methods.rar		4. Generalized Boosted Machines Methods.rar
5. Support Vector Machine Methods.rar		5. Support Vector Machine Methods.rar
6. Deep Learning Methods.rar		6. Deep Learning Methods.rar
7. Partial Least Squares Methods.rar		7. Partial Least Squares Methods.rar
Manual English.pdf		Manual English.pdf
Manual español.pdf		Manual español.pdf
Supplementary Appendices_Paper_A general-purpose machine learning R library for Sparse Kernels Methods (SKM) with an application for genome-based prediction.pdf		Supplementary Appendices_Paper_A general-purpose machine learning R library for Sparse Kernels Methods (SKM) with an application for genome-based prediction.pdf

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Here are available a manual for the use of the SKM library with code and many examples

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