load_DNN: Load the Trained Deep Neural Network (DNN)

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

Load the Trained Deep Neural Network (DNN)

Description

Loads the Pre-Trained Deep Neural Network (DNN) from the DNN.onnx. The function uses the reticulate package to import the onnxruntime Python library and create an inference session for the model.

Usage

load_DNN()

Value

An ONNX runtime inference session object for the DNN model.

Note

Note that Python and the libraries numpy and onnxruntime are required.

First, please ensure that Python is installed on your computer and that Python is included in the system's PATH environment variable. If not, please download and install it from the official website (https://www.python.org/).

If you encounter an error when running this function stating that the numpy and onnxruntime modules are missing:

Error in py_module_import(module, convert = convert) :

ModuleNotFoundError: No module named 'numpy'

or

Error in py_module_import(module, convert = convert) :

ModuleNotFoundError: No module named 'onnxruntime'

this means that the numpy or onnxruntime library is missing from your Python environment. If you are using Windows or macOS, please run the command pip install numpy or pip install onnxruntime in Command Prompt or Windows PowerShell (Windows), or Terminal (macOS). If you are using Linux, please ensure that pip is installed and use the command pip install numpy or pip install onnxruntime to install the missing libraries.

See Also

DNN_predictor

EFAfactors documentation built on June 10, 2025, 9:11 a.m.