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

From version 80.1
edited by teodoramisan
on 2026/02/13 10:09
Change comment: There is no comment for this version
To version 81.1
edited by teodoramisan
on 2026/02/13 10:11
Change comment: There is no comment for this version

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200 200  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.
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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.
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 (//SNPE//, //SNLE//, or //SNRE//). In the last step, **SamplePosterior** draws parameter samples from the trained posterior distribution, conditioned on the selected observed feature vector.
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204 204  [[image:vbi_workflow.png||height="590" width="1100"]]
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