Regen docs (#373)
diff --git a/docs/dyn/ml_v1.projects.models.versions.html b/docs/dyn/ml_v1.projects.models.versions.html
index 116096f..99553f7 100644
--- a/docs/dyn/ml_v1.projects.models.versions.html
+++ b/docs/dyn/ml_v1.projects.models.versions.html
@@ -102,7 +102,7 @@
model. When you add a version to a model that already has one or more
versions, the default version does not automatically change. If you want a
new version to be the default, you must call
-[projects.models.versions.setDefault](/ml/reference/rest/v1/projects.models.versions/setDefault).
+[projects.models.versions.setDefault](/ml-engine/reference/rest/v1/projects.models.versions/setDefault).
Args:
parent: string, Required. The name of the model.
@@ -116,8 +116,10 @@
# Each version is a trained model deployed in the cloud, ready to handle
# prediction requests. A model can have multiple versions. You can get
# information about all of the versions of a given model by calling
- # [projects.models.versions.list](/ml/reference/rest/v1/projects.models.versions/list).
- "description": "A String", # Optional. The description specified for the version when it was created.
+ # [projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list).
+ "name": "A String", # Required.The name specified for the version when it was created.
+ #
+ # The version name must be unique within the model it is created in.
"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
@@ -134,11 +136,11 @@
"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
- # [overview of model deployment](/ml/docs/concepts/deployment-overview) for
+ # [overview of model deployment](/ml-engine/docs/concepts/deployment-overview) for
# more informaiton.
#
# When passing Version to
- # [projects.models.versions.create](/ml/reference/rest/v1/projects.models.versions/create)
+ # [projects.models.versions.create](/ml-engine/reference/rest/v1/projects.models.versions/create)
# the model service uses the specified location as the source of the model.
# Once deployed, the model version is hosted by the prediction service, so
# this location is useful only as a historical record.
@@ -147,10 +149,8 @@
# requests that do not specify a version.
#
# You can change the default version by calling
- # [projects.methods.versions.setDefault](/ml/reference/rest/v1/projects.models.versions/setDefault).
- "name": "A String", # Required.The name specified for the version when it was created.
- #
- # The version name must be unique within the model it is created in.
+ # [projects.methods.versions.setDefault](/ml-engine/reference/rest/v1/projects.models.versions/setDefault).
+ "description": "A String", # Optional. The description specified for the version when it was created.
}
x__xgafv: string, V1 error format.
@@ -169,6 +169,22 @@
# 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:
@@ -232,22 +248,6 @@
},
],
},
- "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>
@@ -264,7 +264,7 @@
Args:
name: string, Required. The name of the version. You can get the names of all the
versions of a model by calling
-[projects.models.versions.list](/ml/reference/rest/v1/projects.models.versions/list).
+[projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list).
Authorization: requires `Editor` role on the parent project. (required)
x__xgafv: string, V1 error format.
@@ -283,6 +283,22 @@
# 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:
@@ -346,22 +362,6 @@
},
],
},
- "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>
@@ -370,7 +370,7 @@
<pre>Gets information about a model version.
Models can have multiple versions. You can call
-[projects.models.versions.list](/ml/reference/rest/v1/projects.models.versions/list)
+[projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list)
to get the same information that this method returns for all of the
versions of a model.
@@ -391,8 +391,10 @@
# Each version is a trained model deployed in the cloud, ready to handle
# prediction requests. A model can have multiple versions. You can get
# information about all of the versions of a given model by calling
- # [projects.models.versions.list](/ml/reference/rest/v1/projects.models.versions/list).
- "description": "A String", # Optional. The description specified for the version when it was created.
+ # [projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list).
+ "name": "A String", # Required.The name specified for the version when it was created.
+ #
+ # The version name must be unique within the model it is created in.
"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
@@ -409,11 +411,11 @@
"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
- # [overview of model deployment](/ml/docs/concepts/deployment-overview) for
+ # [overview of model deployment](/ml-engine/docs/concepts/deployment-overview) for
# more informaiton.
#
# When passing Version to
- # [projects.models.versions.create](/ml/reference/rest/v1/projects.models.versions/create)
+ # [projects.models.versions.create](/ml-engine/reference/rest/v1/projects.models.versions/create)
# the model service uses the specified location as the source of the model.
# Once deployed, the model version is hosted by the prediction service, so
# this location is useful only as a historical record.
@@ -422,10 +424,8 @@
# requests that do not specify a version.
#
# You can change the default version by calling
- # [projects.methods.versions.setDefault](/ml/reference/rest/v1/projects.models.versions/setDefault).
- "name": "A String", # Required.The name specified for the version when it was created.
- #
- # The version name must be unique within the model it is created in.
+ # [projects.methods.versions.setDefault](/ml-engine/reference/rest/v1/projects.models.versions/setDefault).
+ "description": "A String", # Optional. The description specified for the version when it was created.
}</pre>
</div>
@@ -467,8 +467,10 @@
# Each version is a trained model deployed in the cloud, ready to handle
# prediction requests. A model can have multiple versions. You can get
# information about all of the versions of a given model by calling
- # [projects.models.versions.list](/ml/reference/rest/v1/projects.models.versions/list).
- "description": "A String", # Optional. The description specified for the version when it was created.
+ # [projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list).
+ "name": "A String", # Required.The name specified for the version when it was created.
+ #
+ # The version name must be unique within the model it is created in.
"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
@@ -485,11 +487,11 @@
"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
- # [overview of model deployment](/ml/docs/concepts/deployment-overview) for
+ # [overview of model deployment](/ml-engine/docs/concepts/deployment-overview) for
# more informaiton.
#
# When passing Version to
- # [projects.models.versions.create](/ml/reference/rest/v1/projects.models.versions/create)
+ # [projects.models.versions.create](/ml-engine/reference/rest/v1/projects.models.versions/create)
# the model service uses the specified location as the source of the model.
# Once deployed, the model version is hosted by the prediction service, so
# this location is useful only as a historical record.
@@ -498,10 +500,8 @@
# requests that do not specify a version.
#
# You can change the default version by calling
- # [projects.methods.versions.setDefault](/ml/reference/rest/v1/projects.models.versions/setDefault).
- "name": "A String", # Required.The name specified for the version when it was created.
- #
- # The version name must be unique within the model it is created in.
+ # [projects.methods.versions.setDefault](/ml-engine/reference/rest/v1/projects.models.versions/setDefault).
+ "description": "A String", # Optional. The description specified for the version when it was created.
},
],
}</pre>
@@ -535,7 +535,7 @@
Args:
name: string, Required. The name of the version to make the default for the model. You
can get the names of all the versions of a model by calling
-[projects.models.versions.list](/ml/reference/rest/v1/projects.models.versions/list).
+[projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list).
Authorization: requires `Editor` role on the parent project. (required)
body: object, The request body. (required)
@@ -557,8 +557,10 @@
# Each version is a trained model deployed in the cloud, ready to handle
# prediction requests. A model can have multiple versions. You can get
# information about all of the versions of a given model by calling
- # [projects.models.versions.list](/ml/reference/rest/v1/projects.models.versions/list).
- "description": "A String", # Optional. The description specified for the version when it was created.
+ # [projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list).
+ "name": "A String", # Required.The name specified for the version when it was created.
+ #
+ # The version name must be unique within the model it is created in.
"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
@@ -575,11 +577,11 @@
"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
- # [overview of model deployment](/ml/docs/concepts/deployment-overview) for
+ # [overview of model deployment](/ml-engine/docs/concepts/deployment-overview) for
# more informaiton.
#
# When passing Version to
- # [projects.models.versions.create](/ml/reference/rest/v1/projects.models.versions/create)
+ # [projects.models.versions.create](/ml-engine/reference/rest/v1/projects.models.versions/create)
# the model service uses the specified location as the source of the model.
# Once deployed, the model version is hosted by the prediction service, so
# this location is useful only as a historical record.
@@ -588,10 +590,8 @@
# requests that do not specify a version.
#
# You can change the default version by calling
- # [projects.methods.versions.setDefault](/ml/reference/rest/v1/projects.models.versions/setDefault).
- "name": "A String", # Required.The name specified for the version when it was created.
- #
- # The version name must be unique within the model it is created in.
+ # [projects.methods.versions.setDefault](/ml-engine/reference/rest/v1/projects.models.versions/setDefault).
+ "description": "A String", # Optional. The description specified for the version when it was created.
}</pre>
</div>