check_numeric_format

Check that DATA.FRAME has numeric format for ALL the columns and it has NO 'NA' values

internal

Incorporates Approximate Bayesian Computation to get a posterior distribution and to select a model optimal parameter for an observation point. Additionally, the meta-sampling heuristic algorithm is realized for parameter estimation, which requires no model runs and is dimension-independent. A sampling scheme is also presented that allows model runs and uses the meta-sampling for point generation. A predictor is realized as the meta-sampling for the model output. All the algorithms leverage a machine learning method utilizing the maxima weighted Isolation Kernel approach, or 'MaxWiK'. The method involves transforming raw data to a Hilbert space (mapping) and measuring the similarity between simulated points and the maxima weighted Isolation Kernel mapping corresponding to the observation point. Comprehensive details of the methodology can be found in the papers Iurii Nagornov (2024) <doi:10.1007/978-3-031-66431-1_16> and Iurii Nagornov (2023) <doi:10.1007/978-3-031-29168-5_18>.

Yuri Nagornov

MaxWiK

Machine Learning Method Based on Isolation Kernel Mean Embedding

check_numeric_format function

<dl><dt>l</dt>
<dd>DATA.FRAME that should have data of numeric type</dd></dl>

Arguments

Function to check DATA.FRAME — check_numeric_format

<dl>

<dt>l</dt>
<dd>DATA.FRAME that should have data of numeric type</dd>

</dl>

check_numeric_format: Function to check DATA.FRAME

Description

Usage

Value

Arguments

Examples