recover_points: Recover missing data points via imputation or prediction

In AskExplain/gcproc: Encodes datasets for prediction and dimension reduction

Recover missing data points via imputation or prediction

Description

Main function to recover missing points. Used internally, but can be re-purposed by the user.

Usage

recover_points(data_list, code, main.parameters, config, recover)

Arguments

data_list	A list of datasets (matrix or tensor etc.)
code	Code parameters from gcproc
main.parameters	Main parameters from gcproc
config	Configuration parameters from gcproc
recover	Recover list from gcproc

Value

Recovered data from imputation or prediction, with the design matrices and any user input parameters and functions

AskExplain/gcproc documentation built on Aug. 13, 2022, 2:29 p.m.