Regen docs (#373)
diff --git a/docs/dyn/ml_v1beta1.projects.models.versions.html b/docs/dyn/ml_v1beta1.projects.models.versions.html
index e201ee0..340d4e9 100644
--- a/docs/dyn/ml_v1beta1.projects.models.versions.html
+++ b/docs/dyn/ml_v1beta1.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/v1beta1/projects.models.versions/setDefault).
+[projects.models.versions.setDefault](/ml-engine/reference/rest/v1beta1/projects.models.versions/setDefault).
Args:
parent: string, Required. The name of the model.
@@ -116,7 +116,7 @@
# 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/v1beta1/projects.models.versions/list).
+ # [projects.models.versions.list](/ml-engine/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.
@@ -134,11 +134,11 @@
"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/v1beta1/projects.models.versions/create)
+ # [projects.models.versions.create](/ml-engine/reference/rest/v1beta1/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.
@@ -147,7 +147,7 @@
# requests that do not specify a version.
#
# You can change the default version by calling
- # [projects.methods.versions.setDefault](/ml/reference/rest/v1beta1/projects.models.versions/setDefault).
+ # [projects.methods.versions.setDefault](/ml-engine/reference/rest/v1beta1/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.
@@ -163,12 +163,6 @@
{ # This resource represents a long-running operation that is the result of a
# network API call.
- "metadata": { # Service-specific metadata associated with the operation. It typically
- # contains progress information and common metadata such as create time.
- # Some services might not provide such metadata. Any method that returns a
- # long-running operation should document the metadata type, if any.
- "a_key": "", # Properties of the object. Contains field @type with type URL.
- },
"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:
@@ -248,6 +242,12 @@
"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`.
+ "metadata": { # Service-specific metadata associated with the operation. It typically
+ # contains progress information and common metadata such as create time.
+ # Some services might not provide such metadata. Any method that returns a
+ # long-running operation should document the metadata type, if any.
+ "a_key": "", # Properties of the object. Contains field @type with type URL.
+ },
}</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/v1beta1/projects.models.versions/list).
+[projects.models.versions.list](/ml-engine/reference/rest/v1beta1/projects.models.versions/list).
Authorization: requires `Editor` role on the parent project. (required)
x__xgafv: string, V1 error format.
@@ -277,12 +277,6 @@
{ # This resource represents a long-running operation that is the result of a
# network API call.
- "metadata": { # Service-specific metadata associated with the operation. It typically
- # contains progress information and common metadata such as create time.
- # Some services might not provide such metadata. Any method that returns a
- # long-running operation should document the metadata type, if any.
- "a_key": "", # Properties of the object. Contains field @type with type URL.
- },
"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:
@@ -362,6 +356,12 @@
"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`.
+ "metadata": { # Service-specific metadata associated with the operation. It typically
+ # contains progress information and common metadata such as create time.
+ # Some services might not provide such metadata. Any method that returns a
+ # long-running operation should document the metadata type, if any.
+ "a_key": "", # Properties of the object. Contains field @type with type URL.
+ },
}</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/v1beta1/projects.models.versions/list)
+[projects.models.versions.list](/ml-engine/reference/rest/v1beta1/projects.models.versions/list)
to get the same information that this method returns for all of the
versions of a model.
@@ -391,7 +391,7 @@
# 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/v1beta1/projects.models.versions/list).
+ # [projects.models.versions.list](/ml-engine/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.
@@ -409,11 +409,11 @@
"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/v1beta1/projects.models.versions/create)
+ # [projects.models.versions.create](/ml-engine/reference/rest/v1beta1/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.
@@ -422,7 +422,7 @@
# requests that do not specify a version.
#
# You can change the default version by calling
- # [projects.methods.versions.setDefault](/ml/reference/rest/v1beta1/projects.models.versions/setDefault).
+ # [projects.methods.versions.setDefault](/ml-engine/reference/rest/v1beta1/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.
@@ -467,7 +467,7 @@
# 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/v1beta1/projects.models.versions/list).
+ # [projects.models.versions.list](/ml-engine/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.
@@ -485,11 +485,11 @@
"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/v1beta1/projects.models.versions/create)
+ # [projects.models.versions.create](/ml-engine/reference/rest/v1beta1/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.
@@ -498,7 +498,7 @@
# requests that do not specify a version.
#
# You can change the default version by calling
- # [projects.methods.versions.setDefault](/ml/reference/rest/v1beta1/projects.models.versions/setDefault).
+ # [projects.methods.versions.setDefault](/ml-engine/reference/rest/v1beta1/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.
@@ -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/v1beta1/projects.models.versions/list).
+[projects.models.versions.list](/ml-engine/reference/rest/v1beta1/projects.models.versions/list).
Authorization: requires `Editor` role on the parent project. (required)
body: object, The request body. (required)
@@ -557,7 +557,7 @@
# 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/v1beta1/projects.models.versions/list).
+ # [projects.models.versions.list](/ml-engine/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.
@@ -575,11 +575,11 @@
"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/v1beta1/projects.models.versions/create)
+ # [projects.models.versions.create](/ml-engine/reference/rest/v1beta1/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.
@@ -588,7 +588,7 @@
# requests that do not specify a version.
#
# You can change the default version by calling
- # [projects.methods.versions.setDefault](/ml/reference/rest/v1beta1/projects.models.versions/setDefault).
+ # [projects.methods.versions.setDefault](/ml-engine/reference/rest/v1beta1/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.