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Merge pull request #141 from vpratz/Development
README - update minimal example
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README.md

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@@ -73,7 +73,7 @@ def prior(D=2, mu=0., sigma=1.0):
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Then, we connect the `prior` with the `simulator` using a `GenerativeModel` wrapper:
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```python
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generative_model = bf.simulation.GenerativeModel(prior, simulator)
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generative_model = bf.simulation.GenerativeModel(prior, simulator, simulator_is_batched=False)
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```
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Next, we create our BayesFlow setup consisting of a summary and an inference network:

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