Quantum Walk-Based Data Analysis and Prediction
Quantum Walk
RReliefF
Model by Stepwise Regression
Mode Selection by Stepwise Regression
Vector Autoregressive Model
Projection Pursuit Regression
Prediction
Evaluation
Principle Component Regression
Partial Least Squares Regression
The modeling and prediction of graph-associated time series(GATS) based on continuous time quantum walk. This software is mainly used for feature extraction, modeling, prediction and result evaluation of GATS, including continuous time quantum walk simulation, feature selection, regression analysis, time series prediction, and series fit calculation. A paper is attached to the package for reference.