Machine Learning Method Based on Isolation Kernel Mean Embedding


[Up] [Top]

Documentation for package ‘MaxWiK’ version 1.0.5

Help Pages

apply_range Function to restrict values of the data according with the range for each dimension
Data.2D List of the objects for the 2D example of the MaxWiK methods usage
get.MaxWiK Function to get Approximate Bayesian Computation based on Maxima Weighted Isolation Kernel mapping
MaxWiK.ggplot.density Density plot
MaxWiK.predictor Function to get Approximate Bayesian Computation based on Maxima Weighted Isolation Kernel mapping
MaxWiK_templates Function to copy the templates from extdata folder in the library to /Templates/ folder in the working directory
meta_sampling Function to get Approximate Bayesian Computation based on Maxima Weighted Isolation Kernel mapping
read_file Function to read file
read_hyperparameters Function to read hyperparameters and their values from the file
restrict_data Function to restrict data in the size to accelerate the calculations
sampler_MaxWiK Function to generate parameters and simulate a model based on MaxWiK algorithm
sampler_MaxWiK_parallel Function to generate parameters and simulate a model based on MaxWiK algorithm