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alteryx · Jul 30, 2020 · f111cfc · f111cfc
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diff --git a/docs/source/user_guide.ipynb b/docs/source/user_guide.ipynb
@@ -103,7 +103,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.8.2"
   }
  },
  "nbformat": 4,

diff --git a/docs/source/user_guide/automl.ipynb b/docs/source/user_guide/automl.ipynb
@@ -67,28 +67,6 @@
     "The AutoML interface supports a variety of other parameters. For a comprehensive list, please [refer to the API reference.](../generated/evalml.automl.AutoMLSearch.ipynb)"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Using custom pipelines\n",
-    "EvalML's automl algorithm searches through a set of pipelines by default. To change to this set of pipelines you can use the `allowed_pipelines` parameter and supply your own [custom pipelines](pipelines.ipynb) and [components](components.ipynb). Note: doing so will replace the default set of pipelines."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from evalml.pipelines import MulticlassClassificationPipeline\n",
-    "\n",
-    "class CustomMulticlassClassificationPipeline(MulticlassClassificationPipeline):\n",
-    "    component_graph = ['Simple Imputer', 'Random Forest Classifier']\n",
-    "\n",
-    "automl_custom = evalml.automl.AutoMLSearch(problem_type='multiclass', allowed_pipelines=[CustomMulticlassClassificationPipeline])"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -207,7 +185,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.8.2"
   }
  },
  "nbformat": 4,