commit 0bf565cdd7eac073130c7d9700285524a0efd1a3
author Yoshi Automation Bot <yoshi-automation@google.com> Wed Dec 09 08:56:03 2020 -0800
committer GitHub <noreply@github.com> Wed Dec 09 16:56:03 2020 +0000
tree 001f64563f26a581d2f6b4502586c00e2b6be778
parent e4e4b403f89a92d0f2d0661bf47d5ccd490d7bbd

chore: update generated docs (#1115)

This PR was generated using Autosynth. :rainbow:

Synth log will be available here:
https://source.cloud.google.com/results/invocations/2ed9ab0e-55b4-4ab2-aede-c95e765f7376/targets

- [x] To automatically regenerate this PR, check this box.

Source-Link: https://github.com/googleapis/discovery-artifact-manager/commit/0bed8bdae25d545e796cfcdd7a9bfffff11e69da
Source-Link: https://github.com/googleapis/synthtool/commit/c2de32114ec484aa708d32012d1fa8d75232daf5

docs/dyn/ml_v1.projects.locations.studies.html

diff --git a/docs/dyn/ml_v1.projects.locations.studies.html b/docs/dyn/ml_v1.projects.locations.studies.html
index 45f4152..574d0ae 100644
--- a/docs/dyn/ml_v1.projects.locations.studies.html
+++ b/docs/dyn/ml_v1.projects.locations.studies.html
@@ -110,14 +110,51 @@
     The object takes the form of:
 
 { # A message representing a Study.
-  "name": "A String", # Output only. The name of a study.
   "createTime": "A String", # Output only. Time at which the study was created.
+  "state": "A String", # Output only. The detailed state of a study.
   "inactiveReason": "A String", # Output only. A human readable reason why the Study is inactive. This should be empty if a study is ACTIVE or COMPLETED.
   "studyConfig": { # Represents configuration of a study. # Required. Configuration of the study.
-    "metrics": [ # Metric specs for the study.
-      { # Represents a metric to optimize.
-        "goal": "A String", # Required. The optimization goal of the metric.
-        "metric": "A String", # Required. The name of the metric.
+    "parameters": [ # Required. The set of parameters to tune.
+      { # Represents a single parameter to optimize.
+        "childParameterSpecs": [ # A child node is active if the parameter's value matches the child node's matching_parent_values. If two items in child_parameter_specs have the same name, they must have disjoint matching_parent_values.
+          # Object with schema name: GoogleCloudMlV1_StudyConfig_ParameterSpec
+        ],
+        "parentDiscreteValues": { # Represents the spec to match discrete values from parent parameter.
+          "values": [ # Matches values of the parent parameter with type 'DISCRETE'. All values must exist in `discrete_value_spec` of parent parameter.
+            3.14,
+          ],
+        },
+        "doubleValueSpec": { # The value spec for a 'DOUBLE' parameter.
+          "minValue": 3.14, # Must be specified if type is `DOUBLE`. Minimum value of the parameter.
+          "maxValue": 3.14, # Must be specified if type is `DOUBLE`. Maximum value of the parameter.
+        },
+        "discreteValueSpec": { # The value spec for a 'DISCRETE' parameter.
+          "values": [ # Must be specified if type is `DISCRETE`. A list of feasible points. The list should be in strictly increasing order. For instance, this parameter might have possible settings of 1.5, 2.5, and 4.0. This list should not contain more than 1,000 values.
+            3.14,
+          ],
+        },
+        "type": "A String", # Required. The type of the parameter.
+        "parentIntValues": { # Represents the spec to match integer values from parent parameter.
+          "values": [ # Matches values of the parent parameter with type 'INTEGER'. All values must lie in `integer_value_spec` of parent parameter.
+            "A String",
+          ],
+        },
+        "integerValueSpec": { # The value spec for an 'INTEGER' parameter.
+          "maxValue": "A String", # Must be specified if type is `INTEGER`. Maximum value of the parameter.
+          "minValue": "A String", # Must be specified if type is `INTEGER`. Minimum value of the parameter.
+        },
+        "parentCategoricalValues": { # Represents the spec to match categorical values from parent parameter.
+          "values": [ # Matches values of the parent parameter with type 'CATEGORICAL'. All values must exist in `categorical_value_spec` of parent parameter.
+            "A String",
+          ],
+        },
+        "scaleType": "A String", # How the parameter should be scaled. Leave unset for categorical parameters.
+        "parameter": "A String", # Required. The parameter name must be unique amongst all ParameterSpecs.
+        "categoricalValueSpec": { # The value spec for a 'CATEGORICAL' parameter.
+          "values": [ # Must be specified if type is `CATEGORICAL`. The list of possible categories.
+            "A String",
+          ],
+        },
       },
     ],
     "automatedStoppingConfig": { # Configuration for Automated Early Stopping of Trials. If no implementation_config is set, automated early stopping will not be run. # Configuration for automated stopping of unpromising Trials.
@@ -129,51 +166,14 @@
       },
     },
     "algorithm": "A String", # The search algorithm specified for the study.
-    "parameters": [ # Required. The set of parameters to tune.
-      { # Represents a single parameter to optimize.
-        "discreteValueSpec": { # The value spec for a 'DISCRETE' parameter.
-          "values": [ # Must be specified if type is `DISCRETE`. A list of feasible points. The list should be in strictly increasing order. For instance, this parameter might have possible settings of 1.5, 2.5, and 4.0. This list should not contain more than 1,000 values.
-            3.14,
-          ],
-        },
-        "childParameterSpecs": [ # A child node is active if the parameter's value matches the child node's matching_parent_values. If two items in child_parameter_specs have the same name, they must have disjoint matching_parent_values.
-          # Object with schema name: GoogleCloudMlV1_StudyConfig_ParameterSpec
-        ],
-        "parentCategoricalValues": { # Represents the spec to match categorical values from parent parameter.
-          "values": [ # Matches values of the parent parameter with type 'CATEGORICAL'. All values must exist in `categorical_value_spec` of parent parameter.
-            "A String",
-          ],
-        },
-        "parentIntValues": { # Represents the spec to match integer values from parent parameter.
-          "values": [ # Matches values of the parent parameter with type 'INTEGER'. All values must lie in `integer_value_spec` of parent parameter.
-            "A String",
-          ],
-        },
-        "scaleType": "A String", # How the parameter should be scaled. Leave unset for categorical parameters.
-        "parameter": "A String", # Required. The parameter name must be unique amongst all ParameterSpecs.
-        "parentDiscreteValues": { # Represents the spec to match discrete values from parent parameter.
-          "values": [ # Matches values of the parent parameter with type 'DISCRETE'. All values must exist in `discrete_value_spec` of parent parameter.
-            3.14,
-          ],
-        },
-        "doubleValueSpec": { # The value spec for a 'DOUBLE' parameter.
-          "minValue": 3.14, # Must be specified if type is `DOUBLE`. Minimum value of the parameter.
-          "maxValue": 3.14, # Must be specified if type is `DOUBLE`. Maximum value of the parameter.
-        },
-        "categoricalValueSpec": { # The value spec for a 'CATEGORICAL' parameter.
-          "values": [ # Must be specified if type is `CATEGORICAL`. The list of possible categories.
-            "A String",
-          ],
-        },
-        "integerValueSpec": { # The value spec for an 'INTEGER' parameter.
-          "minValue": "A String", # Must be specified if type is `INTEGER`. Minimum value of the parameter.
-          "maxValue": "A String", # Must be specified if type is `INTEGER`. Maximum value of the parameter.
-        },
-        "type": "A String", # Required. The type of the parameter.
+    "metrics": [ # Metric specs for the study.
+      { # Represents a metric to optimize.
+        "goal": "A String", # Required. The optimization goal of the metric.
+        "metric": "A String", # Required. The name of the metric.
       },
     ],
   },
-  "state": "A String", # Output only. The detailed state of a study.
+  "name": "A String", # Output only. The name of a study.
 }
 
   studyId: string, Required. The ID to use for the study, which will become the final component of the study's resource name.
@@ -186,14 +186,51 @@
   An object of the form:
 
     { # A message representing a Study.
-    "name": "A String", # Output only. The name of a study.
     "createTime": "A String", # Output only. Time at which the study was created.
+    "state": "A String", # Output only. The detailed state of a study.
     "inactiveReason": "A String", # Output only. A human readable reason why the Study is inactive. This should be empty if a study is ACTIVE or COMPLETED.
     "studyConfig": { # Represents configuration of a study. # Required. Configuration of the study.
-      "metrics": [ # Metric specs for the study.
-        { # Represents a metric to optimize.
-          "goal": "A String", # Required. The optimization goal of the metric.
-          "metric": "A String", # Required. The name of the metric.
+      "parameters": [ # Required. The set of parameters to tune.
+        { # Represents a single parameter to optimize.
+          "childParameterSpecs": [ # A child node is active if the parameter's value matches the child node's matching_parent_values. If two items in child_parameter_specs have the same name, they must have disjoint matching_parent_values.
+            # Object with schema name: GoogleCloudMlV1_StudyConfig_ParameterSpec
+          ],
+          "parentDiscreteValues": { # Represents the spec to match discrete values from parent parameter.
+            "values": [ # Matches values of the parent parameter with type 'DISCRETE'. All values must exist in `discrete_value_spec` of parent parameter.
+              3.14,
+            ],
+          },
+          "doubleValueSpec": { # The value spec for a 'DOUBLE' parameter.
+            "minValue": 3.14, # Must be specified if type is `DOUBLE`. Minimum value of the parameter.
+            "maxValue": 3.14, # Must be specified if type is `DOUBLE`. Maximum value of the parameter.
+          },
+          "discreteValueSpec": { # The value spec for a 'DISCRETE' parameter.
+            "values": [ # Must be specified if type is `DISCRETE`. A list of feasible points. The list should be in strictly increasing order. For instance, this parameter might have possible settings of 1.5, 2.5, and 4.0. This list should not contain more than 1,000 values.
+              3.14,
+            ],
+          },
+          "type": "A String", # Required. The type of the parameter.
+          "parentIntValues": { # Represents the spec to match integer values from parent parameter.
+            "values": [ # Matches values of the parent parameter with type 'INTEGER'. All values must lie in `integer_value_spec` of parent parameter.
+              "A String",
+            ],
+          },
+          "integerValueSpec": { # The value spec for an 'INTEGER' parameter.
+            "maxValue": "A String", # Must be specified if type is `INTEGER`. Maximum value of the parameter.
+            "minValue": "A String", # Must be specified if type is `INTEGER`. Minimum value of the parameter.
+          },
+          "parentCategoricalValues": { # Represents the spec to match categorical values from parent parameter.
+            "values": [ # Matches values of the parent parameter with type 'CATEGORICAL'. All values must exist in `categorical_value_spec` of parent parameter.
+              "A String",
+            ],
+          },
+          "scaleType": "A String", # How the parameter should be scaled. Leave unset for categorical parameters.
+          "parameter": "A String", # Required. The parameter name must be unique amongst all ParameterSpecs.
+          "categoricalValueSpec": { # The value spec for a 'CATEGORICAL' parameter.
+            "values": [ # Must be specified if type is `CATEGORICAL`. The list of possible categories.
+              "A String",
+            ],
+          },
         },
       ],
       "automatedStoppingConfig": { # Configuration for Automated Early Stopping of Trials. If no implementation_config is set, automated early stopping will not be run. # Configuration for automated stopping of unpromising Trials.
@@ -205,51 +242,14 @@
         },
       },
       "algorithm": "A String", # The search algorithm specified for the study.
-      "parameters": [ # Required. The set of parameters to tune.
-        { # Represents a single parameter to optimize.
-          "discreteValueSpec": { # The value spec for a 'DISCRETE' parameter.
-            "values": [ # Must be specified if type is `DISCRETE`. A list of feasible points. The list should be in strictly increasing order. For instance, this parameter might have possible settings of 1.5, 2.5, and 4.0. This list should not contain more than 1,000 values.
-              3.14,
-            ],
-          },
-          "childParameterSpecs": [ # A child node is active if the parameter's value matches the child node's matching_parent_values. If two items in child_parameter_specs have the same name, they must have disjoint matching_parent_values.
-            # Object with schema name: GoogleCloudMlV1_StudyConfig_ParameterSpec
-          ],
-          "parentCategoricalValues": { # Represents the spec to match categorical values from parent parameter.
-            "values": [ # Matches values of the parent parameter with type 'CATEGORICAL'. All values must exist in `categorical_value_spec` of parent parameter.
-              "A String",
-            ],
-          },
-          "parentIntValues": { # Represents the spec to match integer values from parent parameter.
-            "values": [ # Matches values of the parent parameter with type 'INTEGER'. All values must lie in `integer_value_spec` of parent parameter.
-              "A String",
-            ],
-          },
-          "scaleType": "A String", # How the parameter should be scaled. Leave unset for categorical parameters.
-          "parameter": "A String", # Required. The parameter name must be unique amongst all ParameterSpecs.
-          "parentDiscreteValues": { # Represents the spec to match discrete values from parent parameter.
-            "values": [ # Matches values of the parent parameter with type 'DISCRETE'. All values must exist in `discrete_value_spec` of parent parameter.
-              3.14,
-            ],
-          },
-          "doubleValueSpec": { # The value spec for a 'DOUBLE' parameter.
-            "minValue": 3.14, # Must be specified if type is `DOUBLE`. Minimum value of the parameter.
-            "maxValue": 3.14, # Must be specified if type is `DOUBLE`. Maximum value of the parameter.
-          },
-          "categoricalValueSpec": { # The value spec for a 'CATEGORICAL' parameter.
-            "values": [ # Must be specified if type is `CATEGORICAL`. The list of possible categories.
-              "A String",
-            ],
-          },
-          "integerValueSpec": { # The value spec for an 'INTEGER' parameter.
-            "minValue": "A String", # Must be specified if type is `INTEGER`. Minimum value of the parameter.
-            "maxValue": "A String", # Must be specified if type is `INTEGER`. Maximum value of the parameter.
-          },
-          "type": "A String", # Required. The type of the parameter.
+      "metrics": [ # Metric specs for the study.
+        { # Represents a metric to optimize.
+          "goal": "A String", # Required. The optimization goal of the metric.
+          "metric": "A String", # Required. The name of the metric.
         },
       ],
     },
-    "state": "A String", # Output only. The detailed state of a study.
+    "name": "A String", # Output only. The name of a study.
   }</pre>
 </div>
 
@@ -286,14 +286,51 @@
   An object of the form:
 
     { # A message representing a Study.
-    &quot;name&quot;: &quot;A String&quot;, # Output only. The name of a study.
     &quot;createTime&quot;: &quot;A String&quot;, # Output only. Time at which the study was created.
+    &quot;state&quot;: &quot;A String&quot;, # Output only. The detailed state of a study.
     &quot;inactiveReason&quot;: &quot;A String&quot;, # Output only. A human readable reason why the Study is inactive. This should be empty if a study is ACTIVE or COMPLETED.
     &quot;studyConfig&quot;: { # Represents configuration of a study. # Required. Configuration of the study.
-      &quot;metrics&quot;: [ # Metric specs for the study.
-        { # Represents a metric to optimize.
-          &quot;goal&quot;: &quot;A String&quot;, # Required. The optimization goal of the metric.
-          &quot;metric&quot;: &quot;A String&quot;, # Required. The name of the metric.
+      &quot;parameters&quot;: [ # Required. The set of parameters to tune.
+        { # Represents a single parameter to optimize.
+          &quot;childParameterSpecs&quot;: [ # A child node is active if the parameter&#x27;s value matches the child node&#x27;s matching_parent_values. If two items in child_parameter_specs have the same name, they must have disjoint matching_parent_values.
+            # Object with schema name: GoogleCloudMlV1_StudyConfig_ParameterSpec
+          ],
+          &quot;parentDiscreteValues&quot;: { # Represents the spec to match discrete values from parent parameter.
+            &quot;values&quot;: [ # Matches values of the parent parameter with type &#x27;DISCRETE&#x27;. All values must exist in `discrete_value_spec` of parent parameter.
+              3.14,
+            ],
+          },
+          &quot;doubleValueSpec&quot;: { # The value spec for a &#x27;DOUBLE&#x27; parameter.
+            &quot;minValue&quot;: 3.14, # Must be specified if type is `DOUBLE`. Minimum value of the parameter.
+            &quot;maxValue&quot;: 3.14, # Must be specified if type is `DOUBLE`. Maximum value of the parameter.
+          },
+          &quot;discreteValueSpec&quot;: { # The value spec for a &#x27;DISCRETE&#x27; parameter.
+            &quot;values&quot;: [ # Must be specified if type is `DISCRETE`. A list of feasible points. The list should be in strictly increasing order. For instance, this parameter might have possible settings of 1.5, 2.5, and 4.0. This list should not contain more than 1,000 values.
+              3.14,
+            ],
+          },
+          &quot;type&quot;: &quot;A String&quot;, # Required. The type of the parameter.
+          &quot;parentIntValues&quot;: { # Represents the spec to match integer values from parent parameter.
+            &quot;values&quot;: [ # Matches values of the parent parameter with type &#x27;INTEGER&#x27;. All values must lie in `integer_value_spec` of parent parameter.
+              &quot;A String&quot;,
+            ],
+          },
+          &quot;integerValueSpec&quot;: { # The value spec for an &#x27;INTEGER&#x27; parameter.
+            &quot;maxValue&quot;: &quot;A String&quot;, # Must be specified if type is `INTEGER`. Maximum value of the parameter.
+            &quot;minValue&quot;: &quot;A String&quot;, # Must be specified if type is `INTEGER`. Minimum value of the parameter.
+          },
+          &quot;parentCategoricalValues&quot;: { # Represents the spec to match categorical values from parent parameter.
+            &quot;values&quot;: [ # Matches values of the parent parameter with type &#x27;CATEGORICAL&#x27;. All values must exist in `categorical_value_spec` of parent parameter.
+              &quot;A String&quot;,
+            ],
+          },
+          &quot;scaleType&quot;: &quot;A String&quot;, # How the parameter should be scaled. Leave unset for categorical parameters.
+          &quot;parameter&quot;: &quot;A String&quot;, # Required. The parameter name must be unique amongst all ParameterSpecs.
+          &quot;categoricalValueSpec&quot;: { # The value spec for a &#x27;CATEGORICAL&#x27; parameter.
+            &quot;values&quot;: [ # Must be specified if type is `CATEGORICAL`. The list of possible categories.
+              &quot;A String&quot;,
+            ],
+          },
         },
       ],
       &quot;automatedStoppingConfig&quot;: { # Configuration for Automated Early Stopping of Trials. If no implementation_config is set, automated early stopping will not be run. # Configuration for automated stopping of unpromising Trials.
@@ -305,51 +342,14 @@
         },
       },
       &quot;algorithm&quot;: &quot;A String&quot;, # The search algorithm specified for the study.
-      &quot;parameters&quot;: [ # Required. The set of parameters to tune.
-        { # Represents a single parameter to optimize.
-          &quot;discreteValueSpec&quot;: { # The value spec for a &#x27;DISCRETE&#x27; parameter.
-            &quot;values&quot;: [ # Must be specified if type is `DISCRETE`. A list of feasible points. The list should be in strictly increasing order. For instance, this parameter might have possible settings of 1.5, 2.5, and 4.0. This list should not contain more than 1,000 values.
-              3.14,
-            ],
-          },
-          &quot;childParameterSpecs&quot;: [ # A child node is active if the parameter&#x27;s value matches the child node&#x27;s matching_parent_values. If two items in child_parameter_specs have the same name, they must have disjoint matching_parent_values.
-            # Object with schema name: GoogleCloudMlV1_StudyConfig_ParameterSpec
-          ],
-          &quot;parentCategoricalValues&quot;: { # Represents the spec to match categorical values from parent parameter.
-            &quot;values&quot;: [ # Matches values of the parent parameter with type &#x27;CATEGORICAL&#x27;. All values must exist in `categorical_value_spec` of parent parameter.
-              &quot;A String&quot;,
-            ],
-          },
-          &quot;parentIntValues&quot;: { # Represents the spec to match integer values from parent parameter.
-            &quot;values&quot;: [ # Matches values of the parent parameter with type &#x27;INTEGER&#x27;. All values must lie in `integer_value_spec` of parent parameter.
-              &quot;A String&quot;,
-            ],
-          },
-          &quot;scaleType&quot;: &quot;A String&quot;, # How the parameter should be scaled. Leave unset for categorical parameters.
-          &quot;parameter&quot;: &quot;A String&quot;, # Required. The parameter name must be unique amongst all ParameterSpecs.
-          &quot;parentDiscreteValues&quot;: { # Represents the spec to match discrete values from parent parameter.
-            &quot;values&quot;: [ # Matches values of the parent parameter with type &#x27;DISCRETE&#x27;. All values must exist in `discrete_value_spec` of parent parameter.
-              3.14,
-            ],
-          },
-          &quot;doubleValueSpec&quot;: { # The value spec for a &#x27;DOUBLE&#x27; parameter.
-            &quot;minValue&quot;: 3.14, # Must be specified if type is `DOUBLE`. Minimum value of the parameter.
-            &quot;maxValue&quot;: 3.14, # Must be specified if type is `DOUBLE`. Maximum value of the parameter.
-          },
-          &quot;categoricalValueSpec&quot;: { # The value spec for a &#x27;CATEGORICAL&#x27; parameter.
-            &quot;values&quot;: [ # Must be specified if type is `CATEGORICAL`. The list of possible categories.
-              &quot;A String&quot;,
-            ],
-          },
-          &quot;integerValueSpec&quot;: { # The value spec for an &#x27;INTEGER&#x27; parameter.
-            &quot;minValue&quot;: &quot;A String&quot;, # Must be specified if type is `INTEGER`. Minimum value of the parameter.
-            &quot;maxValue&quot;: &quot;A String&quot;, # Must be specified if type is `INTEGER`. Maximum value of the parameter.
-          },
-          &quot;type&quot;: &quot;A String&quot;, # Required. The type of the parameter.
+      &quot;metrics&quot;: [ # Metric specs for the study.
+        { # Represents a metric to optimize.
+          &quot;goal&quot;: &quot;A String&quot;, # Required. The optimization goal of the metric.
+          &quot;metric&quot;: &quot;A String&quot;, # Required. The name of the metric.
         },
       ],
     },
-    &quot;state&quot;: &quot;A String&quot;, # Output only. The detailed state of a study.
+    &quot;name&quot;: &quot;A String&quot;, # Output only. The name of a study.
   }</pre>
 </div>
 
@@ -370,14 +370,51 @@
     {
     &quot;studies&quot;: [ # The studies associated with the project.
       { # A message representing a Study.
-        &quot;name&quot;: &quot;A String&quot;, # Output only. The name of a study.
         &quot;createTime&quot;: &quot;A String&quot;, # Output only. Time at which the study was created.
+        &quot;state&quot;: &quot;A String&quot;, # Output only. The detailed state of a study.
         &quot;inactiveReason&quot;: &quot;A String&quot;, # Output only. A human readable reason why the Study is inactive. This should be empty if a study is ACTIVE or COMPLETED.
         &quot;studyConfig&quot;: { # Represents configuration of a study. # Required. Configuration of the study.
-          &quot;metrics&quot;: [ # Metric specs for the study.
-            { # Represents a metric to optimize.
-              &quot;goal&quot;: &quot;A String&quot;, # Required. The optimization goal of the metric.
-              &quot;metric&quot;: &quot;A String&quot;, # Required. The name of the metric.
+          &quot;parameters&quot;: [ # Required. The set of parameters to tune.
+            { # Represents a single parameter to optimize.
+              &quot;childParameterSpecs&quot;: [ # A child node is active if the parameter&#x27;s value matches the child node&#x27;s matching_parent_values. If two items in child_parameter_specs have the same name, they must have disjoint matching_parent_values.
+                # Object with schema name: GoogleCloudMlV1_StudyConfig_ParameterSpec
+              ],
+              &quot;parentDiscreteValues&quot;: { # Represents the spec to match discrete values from parent parameter.
+                &quot;values&quot;: [ # Matches values of the parent parameter with type &#x27;DISCRETE&#x27;. All values must exist in `discrete_value_spec` of parent parameter.
+                  3.14,
+                ],
+              },
+              &quot;doubleValueSpec&quot;: { # The value spec for a &#x27;DOUBLE&#x27; parameter.
+                &quot;minValue&quot;: 3.14, # Must be specified if type is `DOUBLE`. Minimum value of the parameter.
+                &quot;maxValue&quot;: 3.14, # Must be specified if type is `DOUBLE`. Maximum value of the parameter.
+              },
+              &quot;discreteValueSpec&quot;: { # The value spec for a &#x27;DISCRETE&#x27; parameter.
+                &quot;values&quot;: [ # Must be specified if type is `DISCRETE`. A list of feasible points. The list should be in strictly increasing order. For instance, this parameter might have possible settings of 1.5, 2.5, and 4.0. This list should not contain more than 1,000 values.
+                  3.14,
+                ],
+              },
+              &quot;type&quot;: &quot;A String&quot;, # Required. The type of the parameter.
+              &quot;parentIntValues&quot;: { # Represents the spec to match integer values from parent parameter.
+                &quot;values&quot;: [ # Matches values of the parent parameter with type &#x27;INTEGER&#x27;. All values must lie in `integer_value_spec` of parent parameter.
+                  &quot;A String&quot;,
+                ],
+              },
+              &quot;integerValueSpec&quot;: { # The value spec for an &#x27;INTEGER&#x27; parameter.
+                &quot;maxValue&quot;: &quot;A String&quot;, # Must be specified if type is `INTEGER`. Maximum value of the parameter.
+                &quot;minValue&quot;: &quot;A String&quot;, # Must be specified if type is `INTEGER`. Minimum value of the parameter.
+              },
+              &quot;parentCategoricalValues&quot;: { # Represents the spec to match categorical values from parent parameter.
+                &quot;values&quot;: [ # Matches values of the parent parameter with type &#x27;CATEGORICAL&#x27;. All values must exist in `categorical_value_spec` of parent parameter.
+                  &quot;A String&quot;,
+                ],
+              },
+              &quot;scaleType&quot;: &quot;A String&quot;, # How the parameter should be scaled. Leave unset for categorical parameters.
+              &quot;parameter&quot;: &quot;A String&quot;, # Required. The parameter name must be unique amongst all ParameterSpecs.
+              &quot;categoricalValueSpec&quot;: { # The value spec for a &#x27;CATEGORICAL&#x27; parameter.
+                &quot;values&quot;: [ # Must be specified if type is `CATEGORICAL`. The list of possible categories.
+                  &quot;A String&quot;,
+                ],
+              },
             },
           ],
           &quot;automatedStoppingConfig&quot;: { # Configuration for Automated Early Stopping of Trials. If no implementation_config is set, automated early stopping will not be run. # Configuration for automated stopping of unpromising Trials.
@@ -389,51 +426,14 @@
             },
           },
           &quot;algorithm&quot;: &quot;A String&quot;, # The search algorithm specified for the study.
-          &quot;parameters&quot;: [ # Required. The set of parameters to tune.
-            { # Represents a single parameter to optimize.
-              &quot;discreteValueSpec&quot;: { # The value spec for a &#x27;DISCRETE&#x27; parameter.
-                &quot;values&quot;: [ # Must be specified if type is `DISCRETE`. A list of feasible points. The list should be in strictly increasing order. For instance, this parameter might have possible settings of 1.5, 2.5, and 4.0. This list should not contain more than 1,000 values.
-                  3.14,
-                ],
-              },
-              &quot;childParameterSpecs&quot;: [ # A child node is active if the parameter&#x27;s value matches the child node&#x27;s matching_parent_values. If two items in child_parameter_specs have the same name, they must have disjoint matching_parent_values.
-                # Object with schema name: GoogleCloudMlV1_StudyConfig_ParameterSpec
-              ],
-              &quot;parentCategoricalValues&quot;: { # Represents the spec to match categorical values from parent parameter.
-                &quot;values&quot;: [ # Matches values of the parent parameter with type &#x27;CATEGORICAL&#x27;. All values must exist in `categorical_value_spec` of parent parameter.
-                  &quot;A String&quot;,
-                ],
-              },
-              &quot;parentIntValues&quot;: { # Represents the spec to match integer values from parent parameter.
-                &quot;values&quot;: [ # Matches values of the parent parameter with type &#x27;INTEGER&#x27;. All values must lie in `integer_value_spec` of parent parameter.
-                  &quot;A String&quot;,
-                ],
-              },
-              &quot;scaleType&quot;: &quot;A String&quot;, # How the parameter should be scaled. Leave unset for categorical parameters.
-              &quot;parameter&quot;: &quot;A String&quot;, # Required. The parameter name must be unique amongst all ParameterSpecs.
-              &quot;parentDiscreteValues&quot;: { # Represents the spec to match discrete values from parent parameter.
-                &quot;values&quot;: [ # Matches values of the parent parameter with type &#x27;DISCRETE&#x27;. All values must exist in `discrete_value_spec` of parent parameter.
-                  3.14,
-                ],
-              },
-              &quot;doubleValueSpec&quot;: { # The value spec for a &#x27;DOUBLE&#x27; parameter.
-                &quot;minValue&quot;: 3.14, # Must be specified if type is `DOUBLE`. Minimum value of the parameter.
-                &quot;maxValue&quot;: 3.14, # Must be specified if type is `DOUBLE`. Maximum value of the parameter.
-              },
-              &quot;categoricalValueSpec&quot;: { # The value spec for a &#x27;CATEGORICAL&#x27; parameter.
-                &quot;values&quot;: [ # Must be specified if type is `CATEGORICAL`. The list of possible categories.
-                  &quot;A String&quot;,
-                ],
-              },
-              &quot;integerValueSpec&quot;: { # The value spec for an &#x27;INTEGER&#x27; parameter.
-                &quot;minValue&quot;: &quot;A String&quot;, # Must be specified if type is `INTEGER`. Minimum value of the parameter.
-                &quot;maxValue&quot;: &quot;A String&quot;, # Must be specified if type is `INTEGER`. Maximum value of the parameter.
-              },
-              &quot;type&quot;: &quot;A String&quot;, # Required. The type of the parameter.
+          &quot;metrics&quot;: [ # Metric specs for the study.
+            { # Represents a metric to optimize.
+              &quot;goal&quot;: &quot;A String&quot;, # Required. The optimization goal of the metric.
+              &quot;metric&quot;: &quot;A String&quot;, # Required. The name of the metric.
             },
           ],
         },
-        &quot;state&quot;: &quot;A String&quot;, # Output only. The detailed state of a study.
+        &quot;name&quot;: &quot;A String&quot;, # Output only. The name of a study.
       },
     ],
   }</pre>