UserManual Python
Contents:
1. Overview: Uranie in a nutshell
2. The DataServer module
3. The Sampler module
4. The Launcher module
5. The Modeler Module
5.1. Introduction
5.2. The
TLinearRegression
Class
5.3. Chaos polynomial expansion
5.4. The kriging method
5.4.1. Construction of a kriging model
5.4.2. Usage of a Kriging model
5.4.2.1. Prediction of a new data set, one-by-one approach
5.4.2.2. Prediction of a new data set, global approach
6. The Sensitivity module
7. The Optimizer module
8. The Relauncher module
9. The Reoptimizer module
10. The Metamodel Optimization module
11. The Calibration module
12. The Uncertainty modeler module
13. Use-cases in Python
UserManual Python
5.
The Modeler Module
5.4.
The kriging method
5.4.2.
Usage of a Kriging model
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5.4.2.
Usage of a Kriging model
5.4.2.1. Prediction of a new data set, one-by-one approach
5.4.2.2. Prediction of a new data set, global approach