1 / 4

Limitations – emulation

Limitations – emulation. Suitability for models. Must be deterministic. If stochastic then noise must be approximately Gaussian distributed with constant variance (nugget). Some models can’t be emulated. Discontinuous response, huge input / output space. No support for spatial models.

danton
Télécharger la présentation

Limitations – emulation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Limitations – emulation • Suitability for models. • Must be deterministic. • If stochastic then noise must be approximately Gaussian distributed with constant variance (nugget). • Some models can’t be emulated. • Discontinuous response, huge input / output space. • No support for spatial models. • Input variable type support. • Currently only continuous. • Integeris possible but not implemented. • Discrete/categorical support is possible but requires changes to emulation code.

  2. Limitations – Web application • Requires your model to be exposed on the Web. • Only using a supported interface! • Data encoding support. • The models we’ve been using only have double input and output values. • Challenges with complex data types such as O&M.

  3. Limitations – Web application • Web service interface support. • Not all of the WPS specification is supported. • Only some SOAP/WSDL services are compatible. • Includes all processes exposed using the UncertWeb Processing Service framework. • Conditional input specifications. • Cannot specify a design where input X1 > X2, for example.

  4. Summary • Performing sensitivity analysis can help to understand your model / workflow. • Building emulators can greatly speed up multiple model runs required for sensitivity and uncertainty analysis. • We have built open source tools to make this possible in the Model Web. • Source code: http://github.com/itszootime The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement n° [248488].

More Related