Updated: kmeans_byom markdown typo

djarpin · djarpin · commit ae5d8fe8b675 · 2017-11-24T23:41:28.000-08:00
diff --git a/advanced_functionality/kmeans_bring_your_own_model/kmeans_bring_your_own_model.ipynb b/advanced_functionality/kmeans_bring_your_own_model/kmeans_bring_your_own_model.ipynb
@@ -354,7 +354,7 @@
     "\n",
     "## Extensions\n",
     "\n",
-    "This notebook showed how to seed a pre-existing model in an already built container.  This functionality could be replicated with other Amazon SageMaker Algorithms, as well as the TensorFlow and MXNet containers.  Although this is certainly an easy method to bring your own model, it is not likely to provide the flexibility of a bringing your own scoring container.  Please refer to other example notebooks which show how to dockerize your own training and scoring could which could be modified appropriately to your use case."
+    "This notebook showed how to seed a pre-existing model in an already built container.  This functionality could be replicated with other Amazon SageMaker Algorithms, as well as the TensorFlow and MXNet containers.  Although this is certainly an easy method to bring your own model, it is not likely to provide the flexibility of a bringing your own scoring container.  Please refer to other example notebooks which show how to dockerize your own training and scoring container which could be modified appropriately to your use case."
    ]
   },
   {

Original file line number	Diff line number	Diff line change
`@@ -354,7 +354,7 @@`
`354`	`354`	`"\n",`
`355`	`355`	`"## Extensions\n",`
`356`	`356`	`"\n",`
`357`		- "This notebook showed how to seed a pre-existing model in an already built container. This functionality could be replicated with other Amazon SageMaker Algorithms, as well as the TensorFlow and MXNet containers. Although this is certainly an easy method to bring your own model, it is not likely to provide the flexibility of a bringing your own scoring container. Please refer to other example notebooks which show how to dockerize your own training and scoring could which could be modified appropriately to your use case."
	`357`	+ "This notebook showed how to seed a pre-existing model in an already built container. This functionality could be replicated with other Amazon SageMaker Algorithms, as well as the TensorFlow and MXNet containers. Although this is certainly an easy method to bring your own model, it is not likely to provide the flexibility of a bringing your own scoring container. Please refer to other example notebooks which show how to dockerize your own training and scoring container which could be modified appropriately to your use case."
`358`	`358`	`]`
`359`	`359`	`},`
`360`	`360`	`{`