Regen docs (#364)
diff --git a/docs/dyn/ml_v1beta1.projects.models.html b/docs/dyn/ml_v1beta1.projects.models.html
index 015558a..1ead461 100644
--- a/docs/dyn/ml_v1beta1.projects.models.html
+++ b/docs/dyn/ml_v1beta1.projects.models.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></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></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
<code><a href="ml_v1beta1.projects.models.versions.html">versions()</a></code>
@@ -115,6 +115,11 @@
# A model can have multiple versions, each of which is a deployed, trained
# model ready to receive prediction requests. The model itself is just a
# container.
+ "regions": [ # Optional. The list of regions where the model is going to be deployed.
+ # Currently only one region per model is supported.
+ # Defaults to 'us-central1' if nothing is set.
+ "A String",
+ ],
"defaultVersion": { # Represents a version of the model. # Output only. The default version of the model. This version will be used to
# handle prediction requests that do not specify a version.
#
@@ -126,6 +131,19 @@
# 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
@@ -147,10 +165,12 @@
#
# The version name must be unique within the model it is created in.
},
- "description": "A String", # Optional. The description specified for the model when it was created.
"name": "A String", # Required. The name specified for the model when it was created.
#
# The model name must be unique within the project it is created in.
+ "onlinePredictionLogging": True or False, # Optional. If true, enables StackDriver Logging for online prediction.
+ # Default is false.
+ "description": "A String", # Optional. The description specified for the model when it was created.
}
x__xgafv: string, V1 error format.
@@ -166,6 +186,11 @@
# A model can have multiple versions, each of which is a deployed, trained
# model ready to receive prediction requests. The model itself is just a
# container.
+ "regions": [ # Optional. The list of regions where the model is going to be deployed.
+ # Currently only one region per model is supported.
+ # Defaults to 'us-central1' if nothing is set.
+ "A String",
+ ],
"defaultVersion": { # Represents a version of the model. # Output only. The default version of the model. This version will be used to
# handle prediction requests that do not specify a version.
#
@@ -177,6 +202,19 @@
# 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
@@ -198,10 +236,12 @@
#
# The version name must be unique within the model it is created in.
},
- "description": "A String", # Optional. The description specified for the model when it was created.
"name": "A String", # Required. The name specified for the model when it was created.
#
# The model name must be unique within the project it is created in.
+ "onlinePredictionLogging": True or False, # Optional. If true, enables StackDriver Logging for online prediction.
+ # Default is false.
+ "description": "A String", # Optional. The description specified for the model when it was created.
}</pre>
</div>
@@ -233,22 +273,6 @@
# 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:
@@ -312,6 +336,22 @@
},
],
},
+ "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>
@@ -338,6 +378,11 @@
# A model can have multiple versions, each of which is a deployed, trained
# model ready to receive prediction requests. The model itself is just a
# container.
+ "regions": [ # Optional. The list of regions where the model is going to be deployed.
+ # Currently only one region per model is supported.
+ # Defaults to 'us-central1' if nothing is set.
+ "A String",
+ ],
"defaultVersion": { # Represents a version of the model. # Output only. The default version of the model. This version will be used to
# handle prediction requests that do not specify a version.
#
@@ -349,6 +394,19 @@
# 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
@@ -370,10 +428,12 @@
#
# The version name must be unique within the model it is created in.
},
- "description": "A String", # Optional. The description specified for the model when it was created.
"name": "A String", # Required. The name specified for the model when it was created.
#
# The model name must be unique within the project it is created in.
+ "onlinePredictionLogging": True or False, # Optional. If true, enables StackDriver Logging for online prediction.
+ # Default is false.
+ "description": "A String", # Optional. The description specified for the model when it was created.
}</pre>
</div>
@@ -406,12 +466,19 @@
An object of the form:
{ # Response message for the ListModels method.
+ "nextPageToken": "A String", # Optional. Pass this token as the `page_token` field of the request for a
+ # subsequent call.
"models": [ # The list of models.
{ # Represents a machine learning solution.
#
# A model can have multiple versions, each of which is a deployed, trained
# model ready to receive prediction requests. The model itself is just a
# container.
+ "regions": [ # Optional. The list of regions where the model is going to be deployed.
+ # Currently only one region per model is supported.
+ # Defaults to 'us-central1' if nothing is set.
+ "A String",
+ ],
"defaultVersion": { # Represents a version of the model. # Output only. The default version of the model. This version will be used to
# handle prediction requests that do not specify a version.
#
@@ -423,6 +490,19 @@
# 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
@@ -444,14 +524,14 @@
#
# The version name must be unique within the model it is created in.
},
- "description": "A String", # Optional. The description specified for the model when it was created.
"name": "A String", # Required. The name specified for the model when it was created.
#
# The model name must be unique within the project it is created in.
+ "onlinePredictionLogging": True or False, # Optional. If true, enables StackDriver Logging for online prediction.
+ # Default is false.
+ "description": "A String", # Optional. The description specified for the model when it was created.
},
],
- "nextPageToken": "A String", # Optional. Pass this token as the `page_token` field of the request for a
- # subsequent call.
}</pre>
</div>