Regen docs (#364)
diff --git a/docs/dyn/ml_v1beta1.projects.models.versions.html b/docs/dyn/ml_v1beta1.projects.models.versions.html
index 3624328..e201ee0 100644
--- a/docs/dyn/ml_v1beta1.projects.models.versions.html
+++ b/docs/dyn/ml_v1beta1.projects.models.versions.html
@@ -72,7 +72,7 @@
</style>
-<h1><a href="ml_v1beta1.html">Google Cloud Machine Learning</a> . <a href="ml_v1beta1.projects.html">projects</a> . <a href="ml_v1beta1.projects.models.html">models</a> . <a href="ml_v1beta1.projects.models.versions.html">versions</a></h1>
+<h1><a href="ml_v1beta1.html">Google Cloud Machine Learning Engine</a> . <a href="ml_v1beta1.projects.html">projects</a> . <a href="ml_v1beta1.projects.models.html">models</a> . <a href="ml_v1beta1.projects.models.versions.html">versions</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
<code><a href="#create">create(parent=None, body, x__xgafv=None)</a></code></p>
@@ -84,7 +84,7 @@
<code><a href="#get">get(name=None, x__xgafv=None)</a></code></p>
<p class="firstline">Gets information about a model version.</p>
<p class="toc_element">
- <code><a href="#list">list(parent=None, pageToken=None, x__xgafv=None, pageSize=None)</a></code></p>
+ <code><a href="#list">list(parent=None, pageSize=None, pageToken=None, x__xgafv=None)</a></code></p>
<p class="firstline">Gets basic information about all the versions of a model.</p>
<p class="toc_element">
<code><a href="#list_next">list_next(previous_request, previous_response)</a></code></p>
@@ -118,6 +118,19 @@
# information about all of the versions of a given model by calling
# [projects.models.versions.list](/ml/reference/rest/v1beta1/projects.models.versions/list).
"description": "A String", # Optional. The description specified for the version when it was created.
+ "runtimeVersion": "A String", # Optional. The Google Cloud ML runtime version to use for this deployment.
+ # If not set, Google Cloud ML will choose a version.
+ "manualScaling": { # Options for manually scaling a model. # Optional. Manually select the number of nodes to use for serving the
+ # model. If unset (i.e., by default), the number of nodes used to serve
+ # the model automatically scales with traffic. However, care should be
+ # taken to ramp up traffic according to the model's ability to scale. If
+ # your model needs to handle bursts of traffic beyond it's ability to
+ # scale, it is recommended you set this field appropriately.
+ "nodes": 42, # The number of nodes to allocate for this model. These nodes are always up,
+ # starting from the time the model is deployed, so the cost of operating
+ # this model will be proportional to nodes * number of hours since
+ # deployment.
+ },
"lastUseTime": "A String", # Output only. The time the version was last used for prediction.
"deploymentUri": "A String", # Required. The Google Cloud Storage location of the trained model used to
# create the version. See the
@@ -156,22 +169,6 @@
# long-running operation should document the metadata type, if any.
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
- "done": True or False, # If the value is `false`, it means the operation is still in progress.
- # If true, the operation is completed, and either `error` or `response` is
- # available.
- "response": { # The normal response of the operation in case of success. If the original
- # method returns no data on success, such as `Delete`, the response is
- # `google.protobuf.Empty`. If the original method is standard
- # `Get`/`Create`/`Update`, the response should be the resource. For other
- # methods, the response should have the type `XxxResponse`, where `Xxx`
- # is the original method name. For example, if the original method name
- # is `TakeSnapshot()`, the inferred response type is
- # `TakeSnapshotResponse`.
- "a_key": "", # Properties of the object. Contains field @type with type URL.
- },
- "name": "A String", # The server-assigned name, which is only unique within the same service that
- # originally returns it. If you use the default HTTP mapping, the
- # `name` should have the format of `operations/some/unique/name`.
"error": { # The `Status` type defines a logical error model that is suitable for different # The error result of the operation in case of failure or cancellation.
# programming environments, including REST APIs and RPC APIs. It is used by
# [gRPC](https://github.com/grpc). The error model is designed to be:
@@ -235,6 +232,22 @@
},
],
},
+ "done": True or False, # If the value is `false`, it means the operation is still in progress.
+ # If true, the operation is completed, and either `error` or `response` is
+ # available.
+ "response": { # The normal response of the operation in case of success. If the original
+ # method returns no data on success, such as `Delete`, the response is
+ # `google.protobuf.Empty`. If the original method is standard
+ # `Get`/`Create`/`Update`, the response should be the resource. For other
+ # methods, the response should have the type `XxxResponse`, where `Xxx`
+ # is the original method name. For example, if the original method name
+ # is `TakeSnapshot()`, the inferred response type is
+ # `TakeSnapshotResponse`.
+ "a_key": "", # Properties of the object. Contains field @type with type URL.
+ },
+ "name": "A String", # The server-assigned name, which is only unique within the same service that
+ # originally returns it. If you use the default HTTP mapping, the
+ # `name` should have the format of `operations/some/unique/name`.
}</pre>
</div>
@@ -270,22 +283,6 @@
# long-running operation should document the metadata type, if any.
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
- "done": True or False, # If the value is `false`, it means the operation is still in progress.
- # If true, the operation is completed, and either `error` or `response` is
- # available.
- "response": { # The normal response of the operation in case of success. If the original
- # method returns no data on success, such as `Delete`, the response is
- # `google.protobuf.Empty`. If the original method is standard
- # `Get`/`Create`/`Update`, the response should be the resource. For other
- # methods, the response should have the type `XxxResponse`, where `Xxx`
- # is the original method name. For example, if the original method name
- # is `TakeSnapshot()`, the inferred response type is
- # `TakeSnapshotResponse`.
- "a_key": "", # Properties of the object. Contains field @type with type URL.
- },
- "name": "A String", # The server-assigned name, which is only unique within the same service that
- # originally returns it. If you use the default HTTP mapping, the
- # `name` should have the format of `operations/some/unique/name`.
"error": { # The `Status` type defines a logical error model that is suitable for different # The error result of the operation in case of failure or cancellation.
# programming environments, including REST APIs and RPC APIs. It is used by
# [gRPC](https://github.com/grpc). The error model is designed to be:
@@ -349,6 +346,22 @@
},
],
},
+ "done": True or False, # If the value is `false`, it means the operation is still in progress.
+ # If true, the operation is completed, and either `error` or `response` is
+ # available.
+ "response": { # The normal response of the operation in case of success. If the original
+ # method returns no data on success, such as `Delete`, the response is
+ # `google.protobuf.Empty`. If the original method is standard
+ # `Get`/`Create`/`Update`, the response should be the resource. For other
+ # methods, the response should have the type `XxxResponse`, where `Xxx`
+ # is the original method name. For example, if the original method name
+ # is `TakeSnapshot()`, the inferred response type is
+ # `TakeSnapshotResponse`.
+ "a_key": "", # Properties of the object. Contains field @type with type URL.
+ },
+ "name": "A String", # The server-assigned name, which is only unique within the same service that
+ # originally returns it. If you use the default HTTP mapping, the
+ # `name` should have the format of `operations/some/unique/name`.
}</pre>
</div>
@@ -380,6 +393,19 @@
# information about all of the versions of a given model by calling
# [projects.models.versions.list](/ml/reference/rest/v1beta1/projects.models.versions/list).
"description": "A String", # Optional. The description specified for the version when it was created.
+ "runtimeVersion": "A String", # Optional. The Google Cloud ML runtime version to use for this deployment.
+ # If not set, Google Cloud ML will choose a version.
+ "manualScaling": { # Options for manually scaling a model. # Optional. Manually select the number of nodes to use for serving the
+ # model. If unset (i.e., by default), the number of nodes used to serve
+ # the model automatically scales with traffic. However, care should be
+ # taken to ramp up traffic according to the model's ability to scale. If
+ # your model needs to handle bursts of traffic beyond it's ability to
+ # scale, it is recommended you set this field appropriately.
+ "nodes": 42, # The number of nodes to allocate for this model. These nodes are always up,
+ # starting from the time the model is deployed, so the cost of operating
+ # this model will be proportional to nodes * number of hours since
+ # deployment.
+ },
"lastUseTime": "A String", # Output only. The time the version was last used for prediction.
"deploymentUri": "A String", # Required. The Google Cloud Storage location of the trained model used to
# create the version. See the
@@ -404,7 +430,7 @@
</div>
<div class="method">
- <code class="details" id="list">list(parent=None, pageToken=None, x__xgafv=None, pageSize=None)</code>
+ <code class="details" id="list">list(parent=None, pageSize=None, pageToken=None, x__xgafv=None)</code>
<pre>Gets basic information about all the versions of a model.
If you expect that a model has a lot of versions, or if you need to handle
@@ -415,6 +441,11 @@
parent: string, Required. The name of the model for which to list the version.
Authorization: requires `Viewer` role on the parent project. (required)
+ pageSize: integer, Optional. The number of versions to retrieve per "page" of results. If
+there are more remaining results than this number, the response message
+will contain a valid value in the `next_page_token` field.
+
+The default value is 20, and the maximum page size is 100.
pageToken: string, Optional. A page token to request the next page of results.
You get the token from the `next_page_token` field of the response from
@@ -423,11 +454,6 @@
Allowed values
1 - v1 error format
2 - v2 error format
- pageSize: integer, Optional. The number of versions to retrieve per "page" of results. If
-there are more remaining results than this number, the response message
-will contain a valid value in the `next_page_token` field.
-
-The default value is 20, and the maximum page size is 100.
Returns:
An object of the form:
@@ -443,6 +469,19 @@
# information about all of the versions of a given model by calling
# [projects.models.versions.list](/ml/reference/rest/v1beta1/projects.models.versions/list).
"description": "A String", # Optional. The description specified for the version when it was created.
+ "runtimeVersion": "A String", # Optional. The Google Cloud ML runtime version to use for this deployment.
+ # If not set, Google Cloud ML will choose a version.
+ "manualScaling": { # Options for manually scaling a model. # Optional. Manually select the number of nodes to use for serving the
+ # model. If unset (i.e., by default), the number of nodes used to serve
+ # the model automatically scales with traffic. However, care should be
+ # taken to ramp up traffic according to the model's ability to scale. If
+ # your model needs to handle bursts of traffic beyond it's ability to
+ # scale, it is recommended you set this field appropriately.
+ "nodes": 42, # The number of nodes to allocate for this model. These nodes are always up,
+ # starting from the time the model is deployed, so the cost of operating
+ # this model will be proportional to nodes * number of hours since
+ # deployment.
+ },
"lastUseTime": "A String", # Output only. The time the version was last used for prediction.
"deploymentUri": "A String", # Required. The Google Cloud Storage location of the trained model used to
# create the version. See the
@@ -520,6 +559,19 @@
# information about all of the versions of a given model by calling
# [projects.models.versions.list](/ml/reference/rest/v1beta1/projects.models.versions/list).
"description": "A String", # Optional. The description specified for the version when it was created.
+ "runtimeVersion": "A String", # Optional. The Google Cloud ML runtime version to use for this deployment.
+ # If not set, Google Cloud ML will choose a version.
+ "manualScaling": { # Options for manually scaling a model. # Optional. Manually select the number of nodes to use for serving the
+ # model. If unset (i.e., by default), the number of nodes used to serve
+ # the model automatically scales with traffic. However, care should be
+ # taken to ramp up traffic according to the model's ability to scale. If
+ # your model needs to handle bursts of traffic beyond it's ability to
+ # scale, it is recommended you set this field appropriately.
+ "nodes": 42, # The number of nodes to allocate for this model. These nodes are always up,
+ # starting from the time the model is deployed, so the cost of operating
+ # this model will be proportional to nodes * number of hours since
+ # deployment.
+ },
"lastUseTime": "A String", # Output only. The time the version was last used for prediction.
"deploymentUri": "A String", # Required. The Google Cloud Storage location of the trained model used to
# create the version. See the