data.scaler: the Scaler for the Pre-Trained Deep Neural Network (DNN)

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

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

Description

This dataset contains the means and standard deviations of the 10,000,000 datasets for training Pre-Trained Deep Neural Network (DNN), which can be used to determine the number of factors.

Format

A list containing two vectors, each of length 54:

means

A numeric vector representing the means of the 54 features extracted from the 10,000,000 datasets.

sds

A numeric vector representing the standard deviations of the 54 features extracted from the 10,000,000 datasets.

See Also

DNN_predictor, load_scaler, data.datasets, normalizor

Examples

data(data.scaler)
print(data.scaler)

data.scaler <- load_scaler()
print(data.scaler)

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