Api-roll 44: 2017-01-23

discovery/googleapis_beta/ml__v1beta1.json

Index: discovery/googleapis_beta/ml__v1beta1.json
diff --git a/discovery/googleapis_beta/ml__v1beta1.json b/discovery/googleapis_beta/ml__v1beta1.json
index b465d8ed3327e4eb90546852adcb9dff943b6f71..c1ae725931961b2c85823c451c57ee367d7d8f42 100644
--- a/discovery/googleapis_beta/ml__v1beta1.json
+++ b/discovery/googleapis_beta/ml__v1beta1.json
@@ -667,7 +667,7 @@
             }
         }
     },
-    "revision": "20161212",
+    "revision": "20170111",
     "rootUrl": "https://ml.googleapis.com/",
     "schemas": {
         "GoogleCloudMlV1beta1__HyperparameterOutput": {
@@ -916,21 +916,25 @@
             "type": "object"
         },
         "GoogleCloudMlV1beta1__TrainingOutput": {
-            "description": "Represents results of a training job.",
+            "description": "Represents results of a training job. Output only.",
             "id": "GoogleCloudMlV1beta1__TrainingOutput",
             "properties": {
-                "consumedMlUnits": {
+                "consumedMLUnits": {
                     "description": "The amount of ML units consumed by the job.",
                     "format": "double",
                     "type": "number"
                 },
                 "completedTrialCount": {
-                    "description": "The number of hyperparameter tuning trials that completed successfully.",
+                    "description": "The number of hyperparameter tuning trials that completed successfully.\nOnly set for hyperparameter tuning jobs.",
                     "format": "int64",
                     "type": "string"
                 },
+                "isHyperparameterTuningJob": {
+                    "description": "Whether this job is a hyperparameter tuning job.",
+                    "type": "boolean"
+                },
                 "trials": {
-                    "description": "Results for individual Hyperparameter trials.",
+                    "description": "Results for individual Hyperparameter trials.\nOnly set for hyperparameter tuning jobs.",
                     "items": {
                         "$ref": "GoogleCloudMlV1beta1__HyperparameterOutput"
                     },
@@ -966,6 +970,11 @@
                     "format": "int64",
                     "type": "string"
                 },
+                "nodeHours": {
+                    "description": "Node hours used by the batch prediction job.",
+                    "format": "double",
+                    "type": "number"
+                },
                 "predictionCount": {
                     "description": "The number of generated predictions.",
                     "format": "int64",
@@ -1041,6 +1050,10 @@
                     },
                     "type": "array"
                 },
+                "runtimeVersion": {
+                    "description": "Optional. The Google Cloud ML runtime version to use for this batch\nprediction. If not set, Google Cloud ML will choose a version.",
+                    "type": "string"
+                },
                 "dataFormat": {
                     "description": "Required. The format of the input data files.",
                     "enum": [
@@ -1124,6 +1137,10 @@
                     },
                     "type": "array"
                 },
+                "runtimeVersion": {
+                    "description": "Optional. The Google Cloud ML runtime version to use for training.  If not\nset, Google Cloud ML will choose the latest stable version.",
+                    "type": "string"
+                },
                 "hyperparameters": {
                     "$ref": "GoogleCloudMlV1beta1__HyperparameterSpec",
                     "description": "Optional. The set of Hyperparameters to tune."
@@ -1176,10 +1193,18 @@
                     "description": "Optional. The description specified for the version when it was created.",
                     "type": "string"
                 },
+                "runtimeVersion": {
+                    "description": "Optional. The Google Cloud ML runtime version to use for this deployment.\nIf not set, Google Cloud ML will choose a version.",
+                    "type": "string"
+                },
                 "deploymentUri": {
                     "description": "Required. The Google Cloud Storage location of the trained model used to\ncreate the version. See the\n[overview of model deployment](/ml/docs/concepts/deployment-overview) for\nmore informaiton.\n\nWhen passing Version to\n[projects.models.versions.create](/ml/reference/rest/v1beta1/projects.models.versions/create)\nthe model service uses the specified location as the source of the model.\nOnce deployed, the model version is hosted by the prediction service, so\nthis location is useful only as a historical record.",
                     "type": "string"
                 },
+                "onlinePredictionLogging": {
+                    "description": "Optional. If true, enables StackDriver Logging for online prediction.\nDefault is false.",
+                    "type": "boolean"
+                },
                 "createTime": {
                     "description": "Output only. The time the version was created.",
                     "format": "google-datetime",
@@ -1347,6 +1372,13 @@
                     "description": "Optional. The description specified for the model when it was created.",
                     "type": "string"
                 },
+                "regions": {
+                    "description": "Optional. The list of regions where the model is going to be deployed.\nCurrently only one region per model is supported.\nDefaults to 'us-central1' if nothing is set.",
+                    "items": {
+                        "type": "string"
+                    },
+                    "type": "array"
+                },
                 "defaultVersion": {
                     "$ref": "GoogleCloudMlV1beta1__Version",
                     "description": "Output only. The default version of the model. This version will be used to\nhandle prediction requests that do not specify a version.\n\nYou can change the default version by calling\n[projects.methods.versions.setDefault](/ml/reference/rest/v1beta1/projects.models.versions/setDefault)."