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fix arviz link (#4208)
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docs/source/notebooks/api_quickstart.ipynb

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"\n",
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"The main entry point to MCMC sampling algorithms is via the `pm.sample()` function. By default, this function tries to auto-assign the right sampler(s) and auto-initialize if you don't pass anything.\n",
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"\n",
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"With PyMC3 version >=3.9 the `return_inferencedata=True` kwarg makes the `sample` function return an `arviz.InferenceData` object instead of a `MultiTrace`. `InferenceData` has many advantages, compared to a `MultiTrace`: For example it can be saved/loaded from a file, and can also carry additional (meta)data such as date/version, or posterior predictive distributions. Take a look at the [ArviZ Quickstart](https://arviz-devs.github.io/arviz/notebooks/Introduction.html) to learn more."
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"With PyMC3 version >=3.9 the `return_inferencedata=True` kwarg makes the `sample` function return an `arviz.InferenceData` object instead of a `MultiTrace`. `InferenceData` has many advantages, compared to a `MultiTrace`: For example it can be saved/loaded from a file, and can also carry additional (meta)data such as date/version, or posterior predictive distributions. Take a look at the [ArviZ Quickstart](https://arviz-devs.github.io/arviz/getting_started/Introduction.html) to learn more."
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]
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},
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{
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.7"
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"version": "3.6.8"
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}
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},
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"nbformat": 4,

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