Last modified by teodoramisan on 2026/02/13 10:11

From version 78.1
edited by teodoramisan
on 2026/02/13 10:06
Change comment: There is no comment for this version
To version 77.2
edited by teodoramisan
on 2026/02/13 10:05
Change comment: There is no comment for this version

Summary

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196 196  Contains all VBI components required to run an inference workflow, from prior sampling and simulation to posterior training and posterior sampling.
197 197  
198 198  The workflow starts with **ConfigInference**, which builds the configuration inputs needed by the workflow. It samples parameter values from the prior distribution to generate theta and prepares the feature-extraction configuration (cfg) used later in the pipeline.
199 +
199 199  
200 -Next, **SimulationRunner** executes the selected **VBI model** for a batch of parameter samples (theta) using the chosen backend (//cpp//, //cupy// or //numba//). It selects the requested output signal from the model result and extracts the summary features defined in cfg, producing the feature matrix used for training.
201 -
202 -The resulting features and parameter samples are then passed to **TrainPosterior**, which standardizes the feature matrix with //StandardScaler //and trains a posterior distribution using an SBI method (for example //SNPE//, //SNLE//, or //SNRE//). In the last step, **SamplePosterior** draws parameter samples from the trained posterior distribution, conditioned on the selected observed feature vector.
203 -
204 204  [[image:vbi_workflow.png||height="590" width="1100"]]
205 205  
206 206  === 3. Configuring model parameters using the PhasePlaneWidget: ===
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TVB Widgets