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4 changes: 2 additions & 2 deletions docs/source/notebooks/api_quickstart.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -998,7 +998,7 @@
"\n",
"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",
"\n",
"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."
"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."
]
},
{
Expand Down Expand Up @@ -2325,7 +2325,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.7"
"version": "3.6.8"
}
},
"nbformat": 4,
Expand Down