feat: Automated regeneration of ml v1 client

api_names_out.yaml

@@ -114291,6 +114291,9 @@
 "/ml:v1/GoogleCloudMlV1__AddTrialMeasurementRequest": google_cloud_ml_v1__add_trial_measurement_request
 "/ml:v1/GoogleCloudMlV1__AddTrialMeasurementRequest/measurement": measurement
 "/ml:v1/GoogleCloudMlV1__AutoScaling": google_cloud_ml_v1__auto_scaling
+"/ml:v1/GoogleCloudMlV1__AutoScaling/maxNodes": max_nodes
+"/ml:v1/GoogleCloudMlV1__AutoScaling/metrics": metrics
+"/ml:v1/GoogleCloudMlV1__AutoScaling/metrics/metric": metric
 "/ml:v1/GoogleCloudMlV1__AutoScaling/minNodes": min_nodes
 "/ml:v1/GoogleCloudMlV1__AutomatedStoppingConfig": google_cloud_ml_v1__automated_stopping_config
 "/ml:v1/GoogleCloudMlV1__AutomatedStoppingConfig/decayCurveStoppingConfig": decay_curve_stopping_config
@@ -114423,6 +114426,9 @@
 "/ml:v1/GoogleCloudMlV1__Measurement/metrics": metrics
 "/ml:v1/GoogleCloudMlV1__Measurement/metrics/metric": metric
 "/ml:v1/GoogleCloudMlV1__Measurement/stepCount": step_count
+"/ml:v1/GoogleCloudMlV1__MetricSpec": google_cloud_ml_v1__metric_spec
+"/ml:v1/GoogleCloudMlV1__MetricSpec/name": name
+"/ml:v1/GoogleCloudMlV1__MetricSpec/target": target
 "/ml:v1/GoogleCloudMlV1__Model": google_cloud_ml_v1__model
 "/ml:v1/GoogleCloudMlV1__Model/defaultVersion": default_version
 "/ml:v1/GoogleCloudMlV1__Model/description": description

generated/google/apis/ml_v1.rb

@@ -25,7 +25,7 @@ module Google
     # @see https://cloud.google.com/ml/
     module MlV1
       VERSION = 'V1'
-      REVISION = '20200905'
+      REVISION = '20201016'
 
       # View and manage your data across Google Cloud Platform services
       AUTH_CLOUD_PLATFORM = 'https://www.googleapis.com/auth/cloud-platform'

generated/google/apis/ml_v1/classes.rb

@@ -514,6 +514,18 @@ module Google
       class GoogleCloudMlV1AutoScaling
         include Google::Apis::Core::Hashable
       
+        # The maximum number of nodes to scale this model under load. The actual value
+        # will depend on resource quota and availability.
+        # Corresponds to the JSON property `maxNodes`
+        # @return [Fixnum]
+        attr_accessor :max_nodes
+      
+        # MetricSpec contains the specifications to use to calculate the desired nodes
+        # count.
+        # Corresponds to the JSON property `metrics`
+        # @return [Array<Google::Apis::MlV1::GoogleCloudMlV1MetricSpec>]
+        attr_accessor :metrics
+      
         # Optional. The minimum number of nodes to allocate for this model. These nodes
         # are always up, starting from the time the model is deployed. Therefore, the
         # cost of operating this model will be at least `rate` * `min_nodes` * number of
@@ -548,6 +560,8 @@ module Google
       
         # Update properties of this object
         def update!(**args)
+          @max_nodes = args[:max_nodes] if args.key?(:max_nodes)
+          @metrics = args[:metrics] if args.key?(:metrics)
           @min_nodes = args[:min_nodes] if args.key?(:min_nodes)
         end
       end
@@ -790,12 +804,14 @@ module Google
         end
       end
       
-      # ContainerPort represents a network port in a single container.
+      # Represents a network port in a single container. This message is a subset of
+      # the [Kubernetes ContainerPort v1 core specification](https://kubernetes.io/
+      # docs/reference/generated/kubernetes-api/v1.18/#containerport-v1-core).
       class GoogleCloudMlV1ContainerPort
         include Google::Apis::Core::Hashable
       
-        # Number of port to expose on the pod's IP address. This must be a valid port
+        # Number of the port to expose on the container. This must be a valid port
-        # number, 0 < x < 65536.
+        # number: 0 < PORT_NUMBER < 65536.
         # Corresponds to the JSON property `containerPort`
         # @return [Fixnum]
         attr_accessor :container_port
@@ -810,53 +826,123 @@ module Google
         end
       end
       
-      # Specify a custom container to deploy. Our ContainerSpec is a subset of the
+      # Specification of a custom container for serving predictions. This message is a
-      # Kubernetes Container specification. https://kubernetes.io/docs/reference/
+      # subset of the [Kubernetes Container v1 core specification](https://kubernetes.
-      # generated/kubernetes-api/v1.10/#container-v1-core
+      # io/docs/reference/generated/kubernetes-api/v1.18/#container-v1-core).
       class GoogleCloudMlV1ContainerSpec
         include Google::Apis::Core::Hashable
       
-        # Immutable. Arguments to the entrypoint. The docker image's CMD is used if this
+        # Immutable. Specifies arguments for the command that runs when the container
-        # is not provided. Variable references $(VAR_NAME) are expanded using the
+        # starts. This overrides the container's [`CMD`](https://docs.docker.com/engine/
-        # container's environment. If a variable cannot be resolved, the reference in
+        # reference/builder/#cmd). Specify this field as an array of executable and
-        # the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with
+        # arguments, similar to a Docker `CMD`'s "default parameters" form. If you don't
-        # a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded,
+        # specify this field but do specify the command field, then the command from the
-        # regardless of whether the variable exists or not. More info: https://
+        # `command` field runs without any additional arguments. See the [Kubernetes
-        # kubernetes.io/docs/tasks/inject-data-application/define-command-argument-
+        # documentation about how the `command` and `args` fields interact with a
-        # container/#running-a-command-in-a-shell
+        # container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-
+        # data-application/define-command-argument-container/#notes). If you don't
+        # specify this field and don't specify the `commmand` field, then the container'
+        # s [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and `
+        # CMD` determine what runs based on their default behavior. See the [Docker
+        # documentation about how `CMD` and `ENTRYPOINT` interact](https://docs.docker.
+        # com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). In
+        # this field, you can reference [environment variables set by AI Platform
+        # Prediction](/ai-platform/prediction/docs/custom-container-requirements#aip-
+        # variables) and environment variables set in the env field. You cannot
+        # reference environment variables set in the Docker image. In order for
+        # environment variables to be expanded, reference them by using the following
+        # syntax: $( VARIABLE_NAME) Note that this differs from Bash variable expansion,
+        # which does not use parentheses. If a variable cannot be resolved, the
+        # reference in the input string is used unchanged. To avoid variable expansion,
+        # you can escape this syntax with `$$`; for example: $$(VARIABLE_NAME) This
+        # field corresponds to the `args` field of the [Kubernetes Containers v1 core
+        # API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.18/#
+        # container-v1-core).
         # Corresponds to the JSON property `args`
         # @return [Array<String>]
         attr_accessor :args
       
-        # Immutable. Entrypoint array. Not executed within a shell. The docker image's
+        # Immutable. Specifies the command that runs when the container starts. This
-        # ENTRYPOINT is used if this is not provided. Variable references $(VAR_NAME)
+        # overrides the container's [`ENTRYPOINT`](https://docs.docker.com/engine/
-        # are expanded using the container's environment. If a variable cannot be
+        # reference/builder/#entrypoint). Specify this field as an array of executable
-        # resolved, the reference in the input string will be unchanged. The $(VAR_NAME)
+        # and arguments, similar to a Docker `ENTRYPOINT`'s "exec" form, not its "shell"
-        # syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references
+        # form. If you do not specify this field, then the container's `ENTRYPOINT` runs,
-        # will never be expanded, regardless of whether the variable exists or not. More
+        # in conjunction with the args field or the container's [`CMD`](https://docs.
-        # info: https://kubernetes.io/docs/tasks/inject-data-application/define-command-
+        # docker.com/engine/reference/builder/#cmd), if either exists. If this field is
-        # argument-container/#running-a-command-in-a-shell
+        # not specified and the container does not have an `ENTRYPOINT`, then refer to
+        # the [Docker documentation about how `CMD` and `ENTRYPOINT` interact](https://
+        # docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-
+        # interact). If you specify this field, then you can also specify the `args`
+        # field to provide additional arguments for this command. However, if you
+        # specify this field, then the container's `CMD` is ignored. See the [Kubernetes
+        # documentation about how the `command` and `args` fields interact with a
+        # container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-
+        # data-application/define-command-argument-container/#notes). In this field, you
+        # can reference [environment variables set by AI Platform Prediction](/ai-
+        # platform/prediction/docs/custom-container-requirements#aip-variables) and
+        # environment variables set in the env field. You cannot reference environment
+        # variables set in the Docker image. In order for environment variables to be
+        # expanded, reference them by using the following syntax: $( VARIABLE_NAME) Note
+        # that this differs from Bash variable expansion, which does not use parentheses.
+        # If a variable cannot be resolved, the reference in the input string is used
+        # unchanged. To avoid variable expansion, you can escape this syntax with `$$`;
+        # for example: $$(VARIABLE_NAME) This field corresponds to the `command` field
+        # of the [Kubernetes Containers v1 core API](https://kubernetes.io/docs/
+        # reference/generated/kubernetes-api/v1.18/#container-v1-core).
         # Corresponds to the JSON property `command`
         # @return [Array<String>]
         attr_accessor :command
       
-        # Immutable. List of environment variables to set in the container.
+        # Immutable. List of environment variables to set in the container. After the
+        # container starts running, code running in the container can read these
+        # environment variables. Additionally, the command and args fields can reference
+        # these variables. Later entries in this list can also reference earlier entries.
+        # For example, the following example sets the variable `VAR_2` to have the
+        # value `foo bar`: ```json [ ` "name": "VAR_1", "value": "foo" `, ` "name": "
+        # VAR_2", "value": "$(VAR_1) bar" ` ] ``` If you switch the order of the
+        # variables in the example, then the expansion does not occur. This field
+        # corresponds to the `env` field of the [Kubernetes Containers v1 core API](
+        # https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.18/#container-
+        # v1-core).
         # Corresponds to the JSON property `env`
         # @return [Array<Google::Apis::MlV1::GoogleCloudMlV1EnvVar>]
         attr_accessor :env
       
-        # Docker image name. More info: https://kubernetes.io/docs/concepts/containers/
+        # URI of the Docker image to be used as the custom container for serving
-        # images
+        # predictions. This URI must identify [an image in Artifact Registry](/artifact-
+        # registry/docs/overview) and begin with the hostname ``REGION`-docker.pkg.dev`,
+        # where ``REGION`` is replaced by the region that matches AI Platform Prediction
+        # [regional endpoint](/ai-platform/prediction/docs/regional-endpoints) that you
+        # are using. For example, if you are using the `us-central1-ml.googleapis.com`
+        # endpoint, then this URI must begin with `us-central1-docker.pkg.dev`. To use a
+        # custom container, the [AI Platform Google-managed service account](/ai-
+        # platform/prediction/docs/custom-service-account#default) must have permission
+        # to pull (read) the Docker image at this URI. The AI Platform Google-managed
+        # service account has the following format: `service-`PROJECT_NUMBER`@cloud-ml.
+        # google.com.iam.gserviceaccount.com` `PROJECT_NUMBER` is replaced by your
+        # Google Cloud project number. By default, this service account has necessary
+        # permissions to pull an Artifact Registry image in the same Google Cloud
+        # project where you are using AI Platform Prediction. In this case, no
+        # configuration is necessary. If you want to use an image from a different
+        # Google Cloud project, learn how to [grant the Artifact Registry Reader (roles/
+        # artifactregistry.reader) role for a repository](/artifact-registry/docs/access-
+        # control#grant-repo) to your projet's AI Platform Google-managed service
+        # account. To learn about the requirements for the Docker image itself, read [
+        # Custom container requirements](/ai-platform/prediction/docs/custom-container-
+        # requirements).
         # Corresponds to the JSON property `image`
         # @return [String]
         attr_accessor :image
       
-        # Immutable. List of ports to expose from the container. Exposing a port here
+        # Immutable. List of ports to expose from the container. AI Platform Prediction
-        # gives the system additional information about the network connections a
+        # sends any prediction requests that it receives to the first port on this list.
-        # container uses, but is primarily informational. Not specifying a port here
+        # AI Platform Prediction also sends [liveness and health checks](/ai-platform/
-        # DOES NOT prevent that port from being exposed. Any port which is listening on
+        # prediction/docs/custom-container-requirements#health) to this port. If you do
-        # the default "0.0.0.0" address inside a container will be accessible from the
+        # not specify this field, it defaults to following value: ```json [ ` "
-        # network.
+        # containerPort": 8080 ` ] ``` AI Platform Prediction does not use ports other
+        # than the first one listed. This field corresponds to the `ports` field of the [
+        # Kubernetes Containers v1 core API](https://kubernetes.io/docs/reference/
+        # generated/kubernetes-api/v1.18/#container-v1-core).
         # Corresponds to the JSON property `ports`
         # @return [Array<Google::Apis::MlV1::GoogleCloudMlV1ContainerPort>]
         attr_accessor :ports
@@ -898,21 +984,30 @@ module Google
         end
       end
       
-      # EnvVar represents an environment variable present in a Container.
+      # Represents an environment variable to be made available in a container. This
+      # message is a subset of the [Kubernetes EnvVar v1 core specification](https://
+      # kubernetes.io/docs/reference/generated/kubernetes-api/v1.18/#envvar-v1-core).
       class GoogleCloudMlV1EnvVar
         include Google::Apis::Core::Hashable
       
-        # Name of the environment variable. Must be a C_IDENTIFIER.
+        # Name of the environment variable. Must be a [valid C identifier](https://
+        # github.com/kubernetes/kubernetes/blob/v1.18.8/staging/src/k8s.io/apimachinery/
+        # pkg/util/validation/validation.go#L258) and must not begin with the prefix `
+        # AIP_`.
         # Corresponds to the JSON property `name`
         # @return [String]
         attr_accessor :name
       
-        # Variable references $(VAR_NAME) are expanded using the previous defined
+        # Value of the environment variable. Defaults to an empty string. In this field,
-        # environment variables in the container and any service environment variables.
+        # you can reference [environment variables set by AI Platform Prediction](/ai-
-        # If a variable cannot be resolved, the reference in the input string will be
+        # platform/prediction/docs/custom-container-requirements#aip-variables) and
-        # unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(
+        # environment variables set earlier in the same env field as where this message
-        # VAR_NAME). Escaped references will never be expanded, regardless of whether
+        # occurs. You cannot reference environment variables set in the Docker image. In
-        # the variable exists or not. Defaults to "".
+        # order for environment variables to be expanded, reference them by using the
+        # following syntax: $(VARIABLE_NAME) Note that this differs from Bash variable
+        # expansion, which does not use parentheses. If a variable cannot be resolved,
+        # the reference in the input string is used unchanged. To avoid variable
+        # expansion, you can escape this syntax with `$$`; for example: $$(VARIABLE_NAME)
         # Corresponds to the JSON property `value`
         # @return [String]
         attr_accessor :value
@@ -1537,6 +1632,33 @@ module Google
         end
       end
       
+      # MetricSpec contains the specifications to use to calculate the desired nodes
+      # count when autoscaling is enabled.
+      class GoogleCloudMlV1MetricSpec
+        include Google::Apis::Core::Hashable
+      
+        # metric name.
+        # Corresponds to the JSON property `name`
+        # @return [String]
+        attr_accessor :name
+      
+        # Target specifies the target value for the given metric; once real metric
+        # deviates from the threshold by a certain percentage, the node count changes.
+        # Corresponds to the JSON property `target`
+        # @return [Fixnum]
+        attr_accessor :target
+      
+        def initialize(**args)
+           update!(**args)
+        end
+      
+        # Update properties of this object
+        def update!(**args)
+          @name = args[:name] if args.key?(:name)
+          @target = args[:target] if args.key?(:target)
+        end
+      end
+      
       # 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.
@@ -1583,23 +1705,22 @@ module Google
         attr_accessor :name
       
         # Optional. If true, online prediction nodes send `stderr` and `stdout` streams
-        # to Stackdriver Logging. These can be more verbose than the standard access
+        # to Cloud Logging. These can be more verbose than the standard access logs (see
-        # logs (see `onlinePredictionLogging`) and can incur higher cost. However, they
+        # `onlinePredictionLogging`) and can incur higher cost. However, they are
-        # are helpful for debugging. Note that [Stackdriver logs may incur a cost](/
+        # helpful for debugging. Note that [logs may incur a cost](/stackdriver/pricing),
-        # stackdriver/pricing), especially if your project receives prediction requests
+        # especially if your project receives prediction requests at a high QPS.
-        # at a high QPS. Estimate your costs before enabling this option. Default is
+        # Estimate your costs before enabling this option. Default is false.
-        # false.
         # Corresponds to the JSON property `onlinePredictionConsoleLogging`
         # @return [Boolean]
         attr_accessor :online_prediction_console_logging
         alias_method :online_prediction_console_logging?, :online_prediction_console_logging
       
-        # Optional. If true, online prediction access logs are sent to StackDriver
+        # Optional. If true, online prediction access logs are sent to Cloud Logging.
-        # Logging. These logs are like standard server access logs, containing
+        # These logs are like standard server access logs, containing information like
-        # information like timestamp and latency for each request. Note that [
+        # timestamp and latency for each request. Note that [logs may incur a cost](/
-        # Stackdriver logs may incur a cost](/stackdriver/pricing), especially if your
+        # stackdriver/pricing), especially if your project receives prediction requests
-        # project receives prediction requests at a high queries per second rate (QPS).
+        # at a high queries per second rate (QPS). Estimate your costs before enabling
-        # Estimate your costs before enabling this option. Default is false.
+        # this option. Default is false.
         # Corresponds to the JSON property `onlinePredictionLogging`
         # @return [Boolean]
         attr_accessor :online_prediction_logging
@@ -2057,18 +2178,49 @@ module Google
         end
       end
       
-      # RouteMap is used to override HTTP paths sent to a Custom Container. If
+      # Specifies HTTP paths served by a custom container. AI Platform Prediction
-      # specified, the HTTP server implemented in the ContainerSpec must support the
+      # sends requests to these paths on the container; the custom container must run
-      # route. If unspecified, standard HTTP paths will be used.
+      # an HTTP server that responds to these requests with appropriate responses.
+      # Read [Custom container requirements](/ai-platform/prediction/docs/custom-
+      # container-requirements) for details on how to create your container image to
+      # meet these requirements.
       class GoogleCloudMlV1RouteMap
         include Google::Apis::Core::Hashable
       
-        # HTTP path to send health check requests.
+        # HTTP path on the container to send health checkss to. AI Platform Prediction
+        # intermittently sends GET requests to this path on the container's IP address
+        # and port to check that the container is healthy. Read more about [health
+        # checks](/ai-platform/prediction/docs/custom-container-requirements#checks).
+        # For example, if you set this field to `/bar`, then AI Platform Prediction
+        # intermittently sends a GET request to the following URL on the container:
+        # localhost:PORT/bar PORT refers to the first value of Version.container.ports.
+        # If you don't specify this field, it defaults to the following value: /v1/
+        # models/MODEL/versions/VERSION The placeholders in this value are replaced as
+        # follows: * MODEL: The name of the parent Model. This does not include the "
+        # projects/PROJECT_ID/models/" prefix that the API returns in output; it is the
+        # bare model name, as provided to projects.models.create. * VERSION: The name of
+        # the model version. This does not include the "projects/PROJECT_ID/models/MODEL/
+        # versions/" prefix that the API returns in output; it is the bare version name,
+        # as provided to projects.models.versions.create.
         # Corresponds to the JSON property `health`
         # @return [String]
         attr_accessor :health
       
-        # HTTP path to send prediction requests.
+        # HTTP path on the container to send prediction requests to. AI Platform
+        # Prediction forwards requests sent using projects.predict to this path on the
+        # container's IP address and port. AI Platform Prediction then returns the
+        # container's response in the API response. For example, if you set this field
+        # to `/foo`, then when AI Platform Prediction receives a prediction request, it
+        # forwards the request body in a POST request to the following URL on the
+        # container: localhost:PORT/foo PORT refers to the first value of Version.
+        # container.ports. If you don't specify this field, it defaults to the following
+        # value: /v1/models/MODEL/versions/VERSION:predict The placeholders in this
+        # value are replaced as follows: * MODEL: The name of the parent Model. This
+        # does not include the "projects/PROJECT_ID/models/" prefix that the API returns
+        # in output; it is the bare model name, as provided to projects.models.create. *
+        # VERSION: The name of the model version. This does not include the "projects/
+        # PROJECT_ID/models/MODEL/versions/" prefix that the API returns in output; it
+        # is the bare version name, as provided to projects.models.versions.create.
         # Corresponds to the JSON property `predict`
         # @return [String]
         attr_accessor :predict
@@ -2785,9 +2937,9 @@ module Google
         # @return [Google::Apis::MlV1::GoogleCloudMlV1AutoScaling]
         attr_accessor :auto_scaling
       
-        # Specify a custom container to deploy. Our ContainerSpec is a subset of the
+        # Specification of a custom container for serving predictions. This message is a
-        # Kubernetes Container specification. https://kubernetes.io/docs/reference/
+        # subset of the [Kubernetes Container v1 core specification](https://kubernetes.
-        # generated/kubernetes-api/v1.10/#container-v1-core
+        # io/docs/reference/generated/kubernetes-api/v1.18/#container-v1-core).
         # Corresponds to the JSON property `container`
         # @return [Google::Apis::MlV1::GoogleCloudMlV1ContainerSpec]
         attr_accessor :container
@@ -2797,13 +2949,18 @@ module Google
         # @return [String]
         attr_accessor :create_time
       
-        # Required. The Cloud Storage location of the trained model used to create the
+        # The Cloud Storage URI of a directory containing trained model artifacts to be
-        # version. See the [guide to model deployment](/ml-engine/docs/tensorflow/
+        # used to create the model version. See the [guide to deploying models](/ai-
-        # deploying-models) for more information. When passing Version to projects.
+        # platform/prediction/docs/deploying-models) for more information. The total
-        # models.versions.create the model service uses the specified location as the
+        # number of files under this directory must not exceed 1000. During projects.
-        # source of the model. Once deployed, the model version is hosted by the
+        # models.versions.create, AI Platform Prediction copies all files from the
-        # prediction service, so this location is useful only as a historical record.
+        # specified directory to a location managed by the service. From then on, AI
-        # The total number of model files can't exceed 1000.
+        # Platform Prediction uses these copies of the model artifacts to serve
+        # predictions, not the original files in Cloud Storage, so this location is
+        # useful only as a historical record. If you specify container, then this field
+        # is optional. Otherwise, it is required. Learn [how to use this field with a
+        # custom container](/ai-platform/prediction/docs/custom-container-requirements#
+        # artifacts).
         # Corresponds to the JSON property `deploymentUri`
         # @return [String]
         attr_accessor :deployment_uri
@@ -2844,10 +3001,8 @@ module Google
         # deployment_uri to determine a framework. If you choose `SCIKIT_LEARN` or `
         # XGBOOST`, you must also set the runtime version of the model to 1.4 or greater.
         # Do **not** specify a framework if you're deploying a [custom prediction
-        # routine](/ml-engine/docs/tensorflow/custom-prediction-routines). If you
+        # routine](/ai-platform/prediction/docs/custom-prediction-routines) or if you're
-        # specify a [Compute Engine (N1) machine type](/ml-engine/docs/machine-types-
+        # using a [custom container](/ai-platform/prediction/docs/use-custom-container).
-        # online-prediction) in the `machineType` field, you must specify `TENSORFLOW`
-        # for the framework.
         # Corresponds to the JSON property `framework`
         # @return [String]
         attr_accessor :framework
@@ -2880,9 +3035,9 @@ module Google
         # standard-8` * `n1-standard-16` * `n1-standard-32` * `n1-highmem-2` * `n1-
         # highmem-4` * `n1-highmem-8` * `n1-highmem-16` * `n1-highmem-32` * `n1-highcpu-
         # 2` * `n1-highcpu-4` * `n1-highcpu-8` * `n1-highcpu-16` * `n1-highcpu-32` `mls1-
-        # c1-m2` is generally available. All other machine types are available in beta.
+        # c4-m2` is in beta. All other machine types are generally available. Learn more
-        # Learn more about the [differences between machine types](/ml-engine/docs/
+        # about the [differences between machine types](/ml-engine/docs/machine-types-
-        # machine-types-online-prediction).
+        # online-prediction).
         # Corresponds to the JSON property `machineType`
         # @return [String]
         attr_accessor :machine_type
@@ -2964,9 +3119,12 @@ module Google
         # @return [Google::Apis::MlV1::GoogleCloudMlV1RequestLoggingConfig]
         attr_accessor :request_logging_config
       
-        # RouteMap is used to override HTTP paths sent to a Custom Container. If
+        # Specifies HTTP paths served by a custom container. AI Platform Prediction
-        # specified, the HTTP server implemented in the ContainerSpec must support the
+        # sends requests to these paths on the container; the custom container must run
-        # route. If unspecified, standard HTTP paths will be used.
+        # an HTTP server that responds to these requests with appropriate responses.
+        # Read [Custom container requirements](/ai-platform/prediction/docs/custom-
+        # container-requirements) for details on how to create your container image to
+        # meet these requirements.
         # Corresponds to the JSON property `routes`
         # @return [Google::Apis::MlV1::GoogleCloudMlV1RouteMap]
         attr_accessor :routes
@@ -2978,7 +3136,10 @@ module Google
         # @return [String]
         attr_accessor :runtime_version
       
-        # Optional. Specifies the service account for resource access control.
+        # Optional. Specifies the service account for resource access control. If you
+        # specify this field, then you must also specify either the `containerSpec` or
+        # the `predictionClass` field. Learn more about [using a custom service account](
+        # /ai-platform/prediction/docs/custom-service-account).
         # Corresponds to the JSON property `serviceAccount`
         # @return [String]
         attr_accessor :service_account

generated/google/apis/ml_v1/representations.rb

@@ -304,6 +304,12 @@ module Google
         include Google::Apis::Core::JsonObjectSupport
       end
       
+      class GoogleCloudMlV1MetricSpec
+        class Representation < Google::Apis::Core::JsonRepresentation; end
+      
+        include Google::Apis::Core::JsonObjectSupport
+      end
+      
       class GoogleCloudMlV1Model
         class Representation < Google::Apis::Core::JsonRepresentation; end
       
@@ -666,6 +672,9 @@ module Google
       class GoogleCloudMlV1AutoScaling
         # @private
         class Representation < Google::Apis::Core::JsonRepresentation
+          property :max_nodes, as: 'maxNodes'
+          collection :metrics, as: 'metrics', class: Google::Apis::MlV1::GoogleCloudMlV1MetricSpec, decorator: Google::Apis::MlV1::GoogleCloudMlV1MetricSpec::Representation
+      
           property :min_nodes, as: 'minNodes'
         end
       end
@@ -951,6 +960,14 @@ module Google
         end
       end
       
+      class GoogleCloudMlV1MetricSpec
+        # @private
+        class Representation < Google::Apis::Core::JsonRepresentation
+          property :name, as: 'name'
+          property :target, as: 'target'
+        end
+      end
+      
       class GoogleCloudMlV1Model
         # @private
         class Representation < Google::Apis::Core::JsonRepresentation

generated/google/apis/ml_v1/synth.metadata

@@ -4,7 +4,7 @@
       "git": {
         "name": ".",
         "remote": "https://github.com/googleapis/google-api-ruby-client.git",
-        "sha": "c98c719bbab68d0890524d53f8b629d7858af9c2"
+        "sha": "cb0c5bf94e2b1c915107eec83041d4409c900155"
       }
     }
   ]