Merge pull request #196 from vespa-engine/tgm/remove-docker-cloud-fro…

…m-package Update documentation reference to use deployment module
vespa-engine · Aug 27, 2021 · 1bedef7 · 1bedef7
2 parents 55efef1 + 37b6199
commit 1bedef7
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diff --git a/docs/sphinx/source/howto/deploy_app_package/deploy-docker.ipynb b/docs/sphinx/source/howto/deploy_app_package/deploy-docker.ipynb
@@ -38,7 +38,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We can locally deploy our `app_package` using Docker without leaving the notebook, by creating an instance of [VespaDocker](../../reference-api.rst#vespa.package.VespaDocker), as shown below:"
+    "We can locally deploy our `app_package` using Docker without leaving the notebook, by creating an instance of [VespaDocker](../../reference-api.rst#vespa.deployment.VespaDocker), as shown below:"
    ]
   },
   {

diff --git a/docs/sphinx/source/reference-api.rst b/docs/sphinx/source/reference-api.rst
@@ -114,14 +114,14 @@ Deploy your application
 VespaDocker
 -----------
 
-.. autoclass:: vespa.package.VespaDocker
+.. autoclass:: vespa.deployment.VespaDocker
    :members:
    :special-members: __init__
 
 VespaCloud
 ----------
 
-.. autoclass:: vespa.package.VespaCloud
+.. autoclass:: vespa.deployment.VespaCloud
    :members:
    :special-members: __init__
 

diff --git a/docs/sphinx/source/use_cases/text_search/basic-text-search-simplified-api.ipynb b/docs/sphinx/source/use_cases/text_search/basic-text-search-simplified-api.ipynb
@@ -179,7 +179,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We have now defined a basic text search app containing relevant fields, a fieldset to group fields together, and a rank profile to rank matched documents. It is time to deploy our application. We can locally deploy our `app_package` using Docker without leaving the notebook, by creating an instance of [VespaDocker](https://pyvespa.readthedocs.io/en/latest/reference-api.html#vespa.package.VespaDocker), as shown below:"
+    "We have now defined a basic text search app containing relevant fields, a fieldset to group fields together, and a rank profile to rank matched documents. It is time to deploy our application. We can locally deploy our `app_package` using Docker without leaving the notebook, by creating an instance of [VespaDocker](https://pyvespa.readthedocs.io/en/latest/reference-api.html#vespa.deployment.VespaDocker), as shown below:"
    ]
   },
   {