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tutorials/00_getting_started.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"> Note: In `sbi` version 0.23.0, we renamed all inference classes from, e.g., `SNPE`, to `NPE` (i.e., we removed the `S` prefix). The functionality of the classes remains the same. The `NPE` class handles both the amortized (as shown in this tutorial) and sequential (as shown [here](https://sbi-dev.github.io/sbi/tutorial/02_multiround_inference/)) versions of neural posterior estimation.\n",
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"> Note: In `sbi` version 0.23.0, we renamed all inference classes from, e.g., `SNPE`, to `NPE` (i.e., we removed the `S` prefix). The functionality of the classes remains the same. The `NPE` class handles both the amortized (as shown in this tutorial) and sequential (as shown [here](https://sbi-dev.github.io/sbi/tutorial/02_multiround_inference/)) versions of neural posterior estimation. An alias for `SNPE` still exists for backwards compatibility.\n",
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"> Note: This is where you could specify an alternative inference object such as NRE for ratio estimation or NLE for likelihood estimation. Here, you can see [all implemented methods](https://sbi-dev.github.io/sbi/latest/tutorials/16_implemented_methods/)."
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