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examples/Linear_Regression_Starter.ipynb

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"Now, we are ready to train our approximator to learn posterior distributions for linear regression models. To achieve this, we will all `approximator.fit` passing the `simulator` and a bunch of hyperparameters that control how long we want to train.\n",
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"Now, we are ready to train our approximator to learn posterior distributions for linear regression models. To achieve this, we will call `approximator.fit` passing the `simulator` and a bunch of hyperparameters that control how long we want to train.\n",
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"**Note**: when using JAX and the shape of your data differs in every batch (e.g., when observations vary), you will observe some compilation overhead during the first few steps. The total training time for this example is between 2-5 minutes on a standard laptop."
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