load_scaler: Load the Scaler for the Pre-Trained Deep Neural Network (DNN)

In EFAfactors: Determining the Number of Factors in Exploratory Factor Analysis

Load the Scaler for the Pre-Trained Deep Neural Network (DNN)

Description

Loads the scaler object within the EFAfactors package. This object is a list containing a mean vector and a standard deviation vector, which were computed from the 10,000,000 datasets data.datasets used for training the Pre-Trained Deep Neural Network (DNN). It serves as a tool for normalizing features in DNN_predictor.

Usage

load_scaler()

Value

scaler objective.

See Also

DNN_predictor, normalizor, data.datasets, data.scaler

Examples

library(EFAfactors)

scaler <- load_scaler()
print(scaler)

EFAfactors documentation built on Sept. 30, 2024, 1:06 a.m.