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>