Data.2D: List of the objects for the 2D example of the MaxWiK methods...

In MaxWiK: Machine Learning Method Based on Isolation Kernel Mean Embedding

List of the objects for the 2D example of the MaxWiK methods usage

Description

A list containing input and output data for 2D example for Approximate Bayesian Computation, including sampling scheme, meta-sampling, and prediction. To understand all details of the dataset, please, be kind to see vignette of the package.

Usage

Data.2D

Format

A list of:

X

Input data frame of the model

Y

Output data frame of the model

observation

Data frame with observation info

ABC

List of hyperparameters, the matrix of Voronoi sites, posteriori distribution, and results of MaxWiK algorithm

metasampling

List of results of meta-sampling algorithm, and the network of points during meta-sampling

sampling

List of object which are necessary for sampling algorithm like function for simulation, parameters of the model, MSE (mean squared error), and X12 - generated points

predictor

List of object which are necessary for predictor algorithm like posteriori.MaxWiK, result of the algorithm, and network of points during meta-sampling

MaxWiK documentation built on April 3, 2025, 8:47 p.m.