Particles2023AnalysisHung.py File Reference

Namespaces
	Particles2023AnalysisHung

Functions
def	Particles2023AnalysisHung.plot_result_GL (gl_file)
	Plot the GL data. More...
def	Particles2023AnalysisHung.predict_model (file_name, num_nodes, num_layer)
	Train and evaluate a neural network model for angle of repose prediction. More...
def	Particles2023AnalysisHung.random_forest (file_name)
	Train and evaluate a random forest model for angle of repose prediction. More...
def	Particles2023AnalysisHung.plot_4d (file_name)
	Plot a 3D scatter plot of the training data. More...
def	Particles2023AnalysisHung.plot_relationship (file_name, save)
	Plot the relationship between input parameters and the angle of repose. More...
def	Particles2023AnalysisHung.get_correlation (file_name)
def	Particles2023AnalysisHung.write_calibration_script (str var, str material)
	Generate a calibration script for simulation. More...

Variables
dictionary	Particles2023AnalysisHung.params
string	Particles2023AnalysisHung.file_name_eskal = "Eskal150NN.csv"
string	Particles2023AnalysisHung.file_name_sand = "SandNN.csv"
string	Particles2023AnalysisHung.file_name = "SandNN.csv"
def	Particles2023AnalysisHung.res = predict_model(file_name, j, i)
string	Particles2023AnalysisHung.out = str(i) + ',' + str(j) + ',' + str(res) + "\n"