Optimized design of experiments
If you have control on the inputs/parameters on the system which will generate the dataset (numerical simulations, settings of the experiments, …), you can benefit for a better spatial repartition of the experiments.
Visual exploration tools
When the complete dataset with inputs/parameters and outputs/responses is available, you can load it to perform insightful visual analyses and identify the main trends and the most influential parameters.
Going further with surrogate models
A next common step is to use the dataset to infer a predictive relationship between the inputs/parameters and the outputs. This estimated relationship, the surrogate model, can help push forward the analysis with its ability to predict the responses for any new combination of the inputs. In particular it can be extensively used for uncertainty quantification, sensitivity analysis, deterministic optimization, optimization under uncertainty (robust and reliability based) or more intensive graphical studies.
In the special case of numerical simulations, you can benefit from a direct connection between LAGUN and your simulation scripts to perform automatic and sequential optimizations with the surrogate models.
For a general introduction, please see the following tutorial:
In each tab, the primary tasks to be performed in the workflow will be indicated by blue buttons:
Tasks that are not explictly in the workflow but are highly recommended will appear in red:
Tasks that may bring relevant additional information are colored in lightblue:
Finally, information on what is loaded in memory and which surrogate model is active is available at all times in the 'Info' panel (found in the navigation bar).
You will find here an access to some parameters that are used internally in the platform for some of the tasks. You are free to change them, however it is recommended that you are familiar with the concepts. Indeed increasing one or some of these parameters can have a large impact on the computation time of the tasks.
Information on the releases and versions
Please contact email@example.com for information.
This is a beta version of Lagun Computer Code Exploration Platform.
Version 0.9.10 (December 2020)
Version 0.9.11 (April 2021)
Please contact firstname.lastname@example.org for suggestions, comments or bugs.