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Unified Diff: discovery/googleapis/ml__v1.json

Issue 3003493002: Api-Roll 53: 2017-08-21 (Closed)
Patch Set: Created 3 years, 4 months ago
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Index: discovery/googleapis/ml__v1.json
diff --git a/discovery/googleapis/ml__v1.json b/discovery/googleapis/ml__v1.json
index 6fbdd2a584a4b7aa0343d1e480c4a60b57ad6776..ec5b600ff5132596c5041b7e87b4e53ec36ce331 100644
--- a/discovery/googleapis/ml__v1.json
+++ b/discovery/googleapis/ml__v1.json
@@ -25,8 +25,19 @@
"ownerDomain": "google.com",
"ownerName": "Google",
"parameters": {
- "key": {
- "description": "API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.",
+ "alt": {
+ "default": "json",
+ "description": "Data format for response.",
+ "enum": [
+ "json",
+ "media",
+ "proto"
+ ],
+ "enumDescriptions": [
+ "Responses with Content-Type of application/json",
+ "Media download with context-dependent Content-Type",
+ "Responses with Content-Type of application/x-protobuf"
+ ],
"location": "query",
"type": "string"
},
@@ -35,6 +46,11 @@
"location": "query",
"type": "string"
},
+ "key": {
+ "description": "API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.",
+ "location": "query",
+ "type": "string"
+ },
"quotaUser": {
"description": "Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.",
"location": "query",
@@ -67,13 +83,18 @@
"location": "query",
"type": "boolean"
},
+ "uploadType": {
+ "description": "Legacy upload protocol for media (e.g. \"media\", \"multipart\").",
+ "location": "query",
+ "type": "string"
+ },
"fields": {
"description": "Selector specifying which fields to include in a partial response.",
"location": "query",
"type": "string"
},
- "uploadType": {
- "description": "Legacy upload protocol for media (e.g. \"media\", \"multipart\").",
+ "callback": {
+ "description": "JSONP",
"location": "query",
"type": "string"
},
@@ -89,27 +110,6 @@
],
"location": "query",
"type": "string"
- },
- "callback": {
- "description": "JSONP",
- "location": "query",
- "type": "string"
- },
- "alt": {
- "default": "json",
- "description": "Data format for response.",
- "enum": [
- "json",
- "media",
- "proto"
- ],
- "enumDescriptions": [
- "Responses with Content-Type of application/json",
- "Media download with context-dependent Content-Type",
- "Responses with Content-Type of application/x-protobuf"
- ],
- "location": "query",
- "type": "string"
}
},
"protocol": "rest",
@@ -171,47 +171,61 @@
"resources": {
"models": {
"methods": {
- "getIamPolicy": {
- "description": "Gets the access control policy for a resource.\nReturns an empty policy if the resource exists and does not have a policy\nset.",
+ "list": {
+ "description": "Lists the models in a project.\n\nEach project can contain multiple models, and each model can have multiple\nversions.",
"httpMethod": "GET",
- "id": "ml.projects.models.getIamPolicy",
+ "id": "ml.projects.models.list",
"parameterOrder": [
- "resource"
+ "parent"
],
"parameters": {
- "resource": {
- "description": "REQUIRED: The resource for which the policy is being requested.\nSee the operation documentation for the appropriate value for this field.",
+ "pageToken": {
+ "description": "Optional. A page token to request the next page of results.\n\nYou get the token from the `next_page_token` field of the response from\nthe previous call.",
+ "location": "query",
+ "type": "string"
+ },
+ "pageSize": {
+ "description": "Optional. The number of models to retrieve per \"page\" of results. If there\nare more remaining results than this number, the response message will\ncontain a valid value in the `next_page_token` field.\n\nThe default value is 20, and the maximum page size is 100.",
+ "format": "int32",
+ "location": "query",
+ "type": "integer"
+ },
+ "parent": {
+ "description": "Required. The name of the project whose models are to be listed.",
"location": "path",
- "pattern": "^projects/[^/]+/models/[^/]+$",
+ "pattern": "^projects/[^/]+$",
"required": true,
"type": "string"
}
},
- "path": "v1/{+resource}:getIamPolicy",
+ "path": "v1/{+parent}/models",
"response": {
- "$ref": "GoogleIamV1__Policy"
+ "$ref": "GoogleCloudMlV1__ListModelsResponse"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform"
]
},
- "get": {
- "description": "Gets information about a model, including its name, the description (if\nset), and the default version (if at least one version of the model has\nbeen deployed).",
- "httpMethod": "GET",
- "id": "ml.projects.models.get",
+ "create": {
+ "description": "Creates a model which will later contain one or more versions.\n\nYou must add at least one version before you can request predictions from\nthe model. Add versions by calling\n[projects.models.versions.create](/ml-engine/reference/rest/v1/projects.models.versions/create).",
+ "httpMethod": "POST",
+ "id": "ml.projects.models.create",
"parameterOrder": [
- "name"
+ "parent"
],
"parameters": {
- "name": {
- "description": "Required. The name of the model.",
+ "parent": {
+ "description": "Required. The project name.",
"location": "path",
- "pattern": "^projects/[^/]+/models/[^/]+$",
+ "pattern": "^projects/[^/]+$",
"required": true,
"type": "string"
}
},
- "path": "v1/{+name}",
+ "path": "v1/{+parent}/models",
+ "request": {
+ "$ref": "GoogleCloudMlV1__Model"
+ },
"response": {
"$ref": "GoogleCloudMlV1__Model"
},
@@ -219,141 +233,127 @@
"https://www.googleapis.com/auth/cloud-platform"
]
},
- "testIamPermissions": {
- "description": "Returns permissions that a caller has on the specified resource.\nIf the resource does not exist, this will return an empty set of\npermissions, not a NOT_FOUND error.\n\nNote: This operation is designed to be used for building permission-aware\nUIs and command-line tools, not for authorization checking. This operation\nmay \"fail open\" without warning.",
+ "setIamPolicy": {
+ "description": "Sets the access control policy on the specified resource. Replaces any\nexisting policy.",
"httpMethod": "POST",
- "id": "ml.projects.models.testIamPermissions",
+ "id": "ml.projects.models.setIamPolicy",
"parameterOrder": [
"resource"
],
"parameters": {
"resource": {
- "description": "REQUIRED: The resource for which the policy detail is being requested.\nSee the operation documentation for the appropriate value for this field.",
+ "description": "REQUIRED: The resource for which the policy is being specified.\nSee the operation documentation for the appropriate value for this field.",
"location": "path",
"pattern": "^projects/[^/]+/models/[^/]+$",
"required": true,
"type": "string"
}
},
- "path": "v1/{+resource}:testIamPermissions",
+ "path": "v1/{+resource}:setIamPolicy",
"request": {
- "$ref": "GoogleIamV1__TestIamPermissionsRequest"
+ "$ref": "GoogleIamV1__SetIamPolicyRequest"
},
"response": {
- "$ref": "GoogleIamV1__TestIamPermissionsResponse"
+ "$ref": "GoogleIamV1__Policy"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform"
]
},
- "delete": {
- "description": "Deletes a model.\n\nYou can only delete a model if there are no versions in it. You can delete\nversions by calling\n[projects.models.versions.delete](/ml-engine/reference/rest/v1/projects.models.versions/delete).",
- "httpMethod": "DELETE",
- "id": "ml.projects.models.delete",
+ "getIamPolicy": {
+ "description": "Gets the access control policy for a resource.\nReturns an empty policy if the resource exists and does not have a policy\nset.",
+ "httpMethod": "GET",
+ "id": "ml.projects.models.getIamPolicy",
"parameterOrder": [
- "name"
+ "resource"
],
"parameters": {
- "name": {
- "description": "Required. The name of the model.",
+ "resource": {
+ "description": "REQUIRED: The resource for which the policy is being requested.\nSee the operation documentation for the appropriate value for this field.",
"location": "path",
"pattern": "^projects/[^/]+/models/[^/]+$",
"required": true,
"type": "string"
}
},
- "path": "v1/{+name}",
+ "path": "v1/{+resource}:getIamPolicy",
"response": {
- "$ref": "GoogleLongrunning__Operation"
+ "$ref": "GoogleIamV1__Policy"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform"
]
},
- "list": {
- "description": "Lists the models in a project.\n\nEach project can contain multiple models, and each model can have multiple\nversions.",
+ "get": {
+ "description": "Gets information about a model, including its name, the description (if\nset), and the default version (if at least one version of the model has\nbeen deployed).",
"httpMethod": "GET",
- "id": "ml.projects.models.list",
+ "id": "ml.projects.models.get",
"parameterOrder": [
- "parent"
+ "name"
],
"parameters": {
- "parent": {
- "description": "Required. The name of the project whose models are to be listed.",
+ "name": {
+ "description": "Required. The name of the model.",
"location": "path",
- "pattern": "^projects/[^/]+$",
+ "pattern": "^projects/[^/]+/models/[^/]+$",
"required": true,
"type": "string"
- },
- "pageToken": {
- "description": "Optional. A page token to request the next page of results.\n\nYou get the token from the `next_page_token` field of the response from\nthe previous call.",
- "location": "query",
- "type": "string"
- },
- "pageSize": {
- "description": "Optional. The number of models to retrieve per \"page\" of results. If there\nare more remaining results than this number, the response message will\ncontain a valid value in the `next_page_token` field.\n\nThe default value is 20, and the maximum page size is 100.",
- "format": "int32",
- "location": "query",
- "type": "integer"
}
},
- "path": "v1/{+parent}/models",
+ "path": "v1/{+name}",
"response": {
- "$ref": "GoogleCloudMlV1__ListModelsResponse"
+ "$ref": "GoogleCloudMlV1__Model"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform"
]
},
- "create": {
- "description": "Creates a model which will later contain one or more versions.\n\nYou must add at least one version before you can request predictions from\nthe model. Add versions by calling\n[projects.models.versions.create](/ml-engine/reference/rest/v1/projects.models.versions/create).",
+ "testIamPermissions": {
+ "description": "Returns permissions that a caller has on the specified resource.\nIf the resource does not exist, this will return an empty set of\npermissions, not a NOT_FOUND error.\n\nNote: This operation is designed to be used for building permission-aware\nUIs and command-line tools, not for authorization checking. This operation\nmay \"fail open\" without warning.",
"httpMethod": "POST",
- "id": "ml.projects.models.create",
+ "id": "ml.projects.models.testIamPermissions",
"parameterOrder": [
- "parent"
+ "resource"
],
"parameters": {
- "parent": {
- "description": "Required. The project name.",
+ "resource": {
+ "description": "REQUIRED: The resource for which the policy detail is being requested.\nSee the operation documentation for the appropriate value for this field.",
"location": "path",
- "pattern": "^projects/[^/]+$",
+ "pattern": "^projects/[^/]+/models/[^/]+$",
"required": true,
"type": "string"
}
},
- "path": "v1/{+parent}/models",
+ "path": "v1/{+resource}:testIamPermissions",
"request": {
- "$ref": "GoogleCloudMlV1__Model"
+ "$ref": "GoogleIamV1__TestIamPermissionsRequest"
},
"response": {
- "$ref": "GoogleCloudMlV1__Model"
+ "$ref": "GoogleIamV1__TestIamPermissionsResponse"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform"
]
},
- "setIamPolicy": {
- "description": "Sets the access control policy on the specified resource. Replaces any\nexisting policy.",
- "httpMethod": "POST",
- "id": "ml.projects.models.setIamPolicy",
+ "delete": {
+ "description": "Deletes a model.\n\nYou can only delete a model if there are no versions in it. You can delete\nversions by calling\n[projects.models.versions.delete](/ml-engine/reference/rest/v1/projects.models.versions/delete).",
+ "httpMethod": "DELETE",
+ "id": "ml.projects.models.delete",
"parameterOrder": [
- "resource"
+ "name"
],
"parameters": {
- "resource": {
- "description": "REQUIRED: The resource for which the policy is being specified.\nSee the operation documentation for the appropriate value for this field.",
+ "name": {
+ "description": "Required. The name of the model.",
"location": "path",
"pattern": "^projects/[^/]+/models/[^/]+$",
"required": true,
"type": "string"
}
},
- "path": "v1/{+resource}:setIamPolicy",
- "request": {
- "$ref": "GoogleIamV1__SetIamPolicyRequest"
- },
+ "path": "v1/{+name}",
"response": {
- "$ref": "GoogleIamV1__Policy"
+ "$ref": "GoogleLongrunning__Operation"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform"
@@ -363,60 +363,6 @@
"resources": {
"versions": {
"methods": {
- "create": {
- "description": "Creates a new version of a model from a trained TensorFlow model.\n\nIf the version created in the cloud by this call is the first deployed\nversion of the specified model, it will be made the default version of the\nmodel. When you add a version to a model that already has one or more\nversions, the default version does not automatically change. If you want a\nnew version to be the default, you must call\n[projects.models.versions.setDefault](/ml-engine/reference/rest/v1/projects.models.versions/setDefault).",
- "httpMethod": "POST",
- "id": "ml.projects.models.versions.create",
- "parameterOrder": [
- "parent"
- ],
- "parameters": {
- "parent": {
- "description": "Required. The name of the model.",
- "location": "path",
- "pattern": "^projects/[^/]+/models/[^/]+$",
- "required": true,
- "type": "string"
- }
- },
- "path": "v1/{+parent}/versions",
- "request": {
- "$ref": "GoogleCloudMlV1__Version"
- },
- "response": {
- "$ref": "GoogleLongrunning__Operation"
- },
- "scopes": [
- "https://www.googleapis.com/auth/cloud-platform"
- ]
- },
- "setDefault": {
- "description": "Designates a version to be the default for the model.\n\nThe default version is used for prediction requests made against the model\nthat don't specify a version.\n\nThe first version to be created for a model is automatically set as the\ndefault. You must make any subsequent changes to the default version\nsetting manually using this method.",
- "httpMethod": "POST",
- "id": "ml.projects.models.versions.setDefault",
- "parameterOrder": [
- "name"
- ],
- "parameters": {
- "name": {
- "description": "Required. The name of the version to make the default for the model. You\ncan get the names of all the versions of a model by calling\n[projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list).\n\nAuthorization: `ml.models.update` permission is required on the parent model.",
- "location": "path",
- "pattern": "^projects/[^/]+/models/[^/]+/versions/[^/]+$",
- "required": true,
- "type": "string"
- }
- },
- "path": "v1/{+name}:setDefault",
- "request": {
- "$ref": "GoogleCloudMlV1__SetDefaultVersionRequest"
- },
- "response": {
- "$ref": "GoogleCloudMlV1__Version"
- },
- "scopes": [
- "https://www.googleapis.com/auth/cloud-platform"
- ]
- },
"delete": {
"description": "Deletes a model version.\n\nEach model can have multiple versions deployed and in use at any given\ntime. Use this method to remove a single version.\n\nNote: You cannot delete the version that is set as the default version\nof the model unless it is the only remaining version.",
"httpMethod": "DELETE",
@@ -499,6 +445,60 @@
"scopes": [
"https://www.googleapis.com/auth/cloud-platform"
]
+ },
+ "create": {
+ "description": "Creates a new version of a model from a trained TensorFlow model.\n\nIf the version created in the cloud by this call is the first deployed\nversion of the specified model, it will be made the default version of the\nmodel. When you add a version to a model that already has one or more\nversions, the default version does not automatically change. If you want a\nnew version to be the default, you must call\n[projects.models.versions.setDefault](/ml-engine/reference/rest/v1/projects.models.versions/setDefault).",
+ "httpMethod": "POST",
+ "id": "ml.projects.models.versions.create",
+ "parameterOrder": [
+ "parent"
+ ],
+ "parameters": {
+ "parent": {
+ "description": "Required. The name of the model.",
+ "location": "path",
+ "pattern": "^projects/[^/]+/models/[^/]+$",
+ "required": true,
+ "type": "string"
+ }
+ },
+ "path": "v1/{+parent}/versions",
+ "request": {
+ "$ref": "GoogleCloudMlV1__Version"
+ },
+ "response": {
+ "$ref": "GoogleLongrunning__Operation"
+ },
+ "scopes": [
+ "https://www.googleapis.com/auth/cloud-platform"
+ ]
+ },
+ "setDefault": {
+ "description": "Designates a version to be the default for the model.\n\nThe default version is used for prediction requests made against the model\nthat don't specify a version.\n\nThe first version to be created for a model is automatically set as the\ndefault. You must make any subsequent changes to the default version\nsetting manually using this method.",
+ "httpMethod": "POST",
+ "id": "ml.projects.models.versions.setDefault",
+ "parameterOrder": [
+ "name"
+ ],
+ "parameters": {
+ "name": {
+ "description": "Required. The name of the version to make the default for the model. You\ncan get the names of all the versions of a model by calling\n[projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list).",
+ "location": "path",
+ "pattern": "^projects/[^/]+/models/[^/]+/versions/[^/]+$",
+ "required": true,
+ "type": "string"
+ }
+ },
+ "path": "v1/{+name}:setDefault",
+ "request": {
+ "$ref": "GoogleCloudMlV1__SetDefaultVersionRequest"
+ },
+ "response": {
+ "$ref": "GoogleCloudMlV1__Version"
+ },
+ "scopes": [
+ "https://www.googleapis.com/auth/cloud-platform"
+ ]
}
}
}
@@ -586,11 +586,6 @@
"name"
],
"parameters": {
- "filter": {
- "description": "The standard list filter.",
- "location": "query",
- "type": "string"
- },
"pageToken": {
"description": "The standard list page token.",
"location": "query",
@@ -608,6 +603,11 @@
"format": "int32",
"location": "query",
"type": "integer"
+ },
+ "filter": {
+ "description": "The standard list filter.",
+ "location": "query",
+ "type": "string"
}
},
"path": "v1/{+name}/operations",
@@ -622,52 +622,52 @@
},
"jobs": {
"methods": {
- "cancel": {
- "description": "Cancels a running job.",
- "httpMethod": "POST",
- "id": "ml.projects.jobs.cancel",
+ "get": {
+ "description": "Describes a job.",
+ "httpMethod": "GET",
+ "id": "ml.projects.jobs.get",
"parameterOrder": [
"name"
],
"parameters": {
"name": {
- "description": "Required. The name of the job to cancel.",
+ "description": "Required. The name of the job to get the description of.",
"location": "path",
"pattern": "^projects/[^/]+/jobs/[^/]+$",
"required": true,
"type": "string"
}
},
- "path": "v1/{+name}:cancel",
- "request": {
- "$ref": "GoogleCloudMlV1__CancelJobRequest"
- },
+ "path": "v1/{+name}",
"response": {
- "$ref": "GoogleProtobuf__Empty"
+ "$ref": "GoogleCloudMlV1__Job"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform"
]
},
- "get": {
- "description": "Describes a job.",
- "httpMethod": "GET",
- "id": "ml.projects.jobs.get",
+ "testIamPermissions": {
+ "description": "Returns permissions that a caller has on the specified resource.\nIf the resource does not exist, this will return an empty set of\npermissions, not a NOT_FOUND error.\n\nNote: This operation is designed to be used for building permission-aware\nUIs and command-line tools, not for authorization checking. This operation\nmay \"fail open\" without warning.",
+ "httpMethod": "POST",
+ "id": "ml.projects.jobs.testIamPermissions",
"parameterOrder": [
- "name"
+ "resource"
],
"parameters": {
- "name": {
- "description": "Required. The name of the job to get the description of.",
+ "resource": {
+ "description": "REQUIRED: The resource for which the policy detail is being requested.\nSee the operation documentation for the appropriate value for this field.",
"location": "path",
"pattern": "^projects/[^/]+/jobs/[^/]+$",
"required": true,
"type": "string"
}
},
- "path": "v1/{+name}",
+ "path": "v1/{+resource}:testIamPermissions",
+ "request": {
+ "$ref": "GoogleIamV1__TestIamPermissionsRequest"
+ },
"response": {
- "$ref": "GoogleCloudMlV1__Job"
+ "$ref": "GoogleIamV1__TestIamPermissionsResponse"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform"
@@ -713,6 +713,33 @@
"https://www.googleapis.com/auth/cloud-platform"
]
},
+ "setIamPolicy": {
+ "description": "Sets the access control policy on the specified resource. Replaces any\nexisting policy.",
+ "httpMethod": "POST",
+ "id": "ml.projects.jobs.setIamPolicy",
+ "parameterOrder": [
+ "resource"
+ ],
+ "parameters": {
+ "resource": {
+ "description": "REQUIRED: The resource for which the policy is being specified.\nSee the operation documentation for the appropriate value for this field.",
+ "location": "path",
+ "pattern": "^projects/[^/]+/jobs/[^/]+$",
+ "required": true,
+ "type": "string"
+ }
+ },
+ "path": "v1/{+resource}:setIamPolicy",
+ "request": {
+ "$ref": "GoogleIamV1__SetIamPolicyRequest"
+ },
+ "response": {
+ "$ref": "GoogleIamV1__Policy"
+ },
+ "scopes": [
+ "https://www.googleapis.com/auth/cloud-platform"
+ ]
+ },
"create": {
"description": "Creates a training or a batch prediction job.",
"httpMethod": "POST",
@@ -739,25 +766,98 @@
"scopes": [
"https://www.googleapis.com/auth/cloud-platform"
]
+ },
+ "cancel": {
+ "description": "Cancels a running job.",
+ "httpMethod": "POST",
+ "id": "ml.projects.jobs.cancel",
+ "parameterOrder": [
+ "name"
+ ],
+ "parameters": {
+ "name": {
+ "description": "Required. The name of the job to cancel.",
+ "location": "path",
+ "pattern": "^projects/[^/]+/jobs/[^/]+$",
+ "required": true,
+ "type": "string"
+ }
+ },
+ "path": "v1/{+name}:cancel",
+ "request": {
+ "$ref": "GoogleCloudMlV1__CancelJobRequest"
+ },
+ "response": {
+ "$ref": "GoogleProtobuf__Empty"
+ },
+ "scopes": [
+ "https://www.googleapis.com/auth/cloud-platform"
+ ]
+ },
+ "getIamPolicy": {
+ "description": "Gets the access control policy for a resource.\nReturns an empty policy if the resource exists and does not have a policy\nset.",
+ "httpMethod": "GET",
+ "id": "ml.projects.jobs.getIamPolicy",
+ "parameterOrder": [
+ "resource"
+ ],
+ "parameters": {
+ "resource": {
+ "description": "REQUIRED: The resource for which the policy is being requested.\nSee the operation documentation for the appropriate value for this field.",
+ "location": "path",
+ "pattern": "^projects/[^/]+/jobs/[^/]+$",
+ "required": true,
+ "type": "string"
+ }
+ },
+ "path": "v1/{+resource}:getIamPolicy",
+ "response": {
+ "$ref": "GoogleIamV1__Policy"
+ },
+ "scopes": [
+ "https://www.googleapis.com/auth/cloud-platform"
+ ]
}
}
}
}
}
},
- "revision": "20170718",
+ "revision": "20170812",
"rootUrl": "https://ml.googleapis.com/",
"schemas": {
"GoogleIamV1_LogConfig_DataAccessOptions": {
"description": "Write a Data Access (Gin) log",
"id": "GoogleIamV1_LogConfig_DataAccessOptions",
- "properties": {},
+ "properties": {
+ "logMode": {
+ "description": "Whether Gin logging should happen in a fail-closed manner at the caller.\nThis is relevant only in the LocalIAM implementation, for now.",
+ "enum": [
+ "LOG_MODE_UNSPECIFIED",
+ "LOG_FAIL_CLOSED"
+ ],
+ "enumDescriptions": [
+ "Client is not required to write a partial Gin log immediately after\nthe authorization check. If client chooses to write one and it fails,\nclient may either fail open (allow the operation to continue) or\nfail closed (handle as a DENY outcome).",
+ "The application's operation in the context of which this authorization\ncheck is being made may only be performed if it is successfully logged\nto Gin. For instance, the authorization library may satisfy this\nobligation by emitting a partial log entry at authorization check time\nand only returning ALLOW to the application if it succeeds.\n\nIf a matching Rule has this directive, but the client has not indicated\nthat it will honor such requirements, then the IAM check will result in\nauthorization failure by setting CheckPolicyResponse.success=false."
+ ],
+ "type": "string"
+ }
+ },
"type": "object"
},
"GoogleCloudMlV1__PredictionInput": {
"description": "Represents input parameters for a prediction job.",
"id": "GoogleCloudMlV1__PredictionInput",
"properties": {
+ "maxWorkerCount": {
+ "description": "Optional. The maximum number of workers to be used for parallel processing.\nDefaults to 10 if not specified.",
+ "format": "int64",
+ "type": "string"
+ },
+ "uri": {
+ "description": "Use this field if you want to specify a Google Cloud Storage path for\nthe model to use.",
+ "type": "string"
+ },
"dataFormat": {
"description": "Required. The format of the input data files.",
"enum": [
@@ -774,6 +874,11 @@
],
"type": "string"
},
+ "batchSize": {
+ "description": "Optional. Number of records per batch, defaults to 64.\nThe service will buffer batch_size number of records in memory before\ninvoking one Tensorflow prediction call internally. So take the record\nsize and memory available into consideration when setting this parameter.",
+ "format": "int64",
+ "type": "string"
+ },
"runtimeVersion": {
"description": "Optional. The Google Cloud ML runtime version to use for this batch\nprediction. If not set, Google Cloud ML will pick the runtime version used\nduring the CreateVersion request for this model version, or choose the\nlatest stable version when model version information is not available\nsuch as when the model is specified by uri.",
"type": "string"
@@ -800,29 +905,20 @@
"outputPath": {
"description": "Required. The output Google Cloud Storage location.",
"type": "string"
- },
- "maxWorkerCount": {
- "description": "Optional. The maximum number of workers to be used for parallel processing.\nDefaults to 10 if not specified.",
- "format": "int64",
- "type": "string"
- },
- "uri": {
- "description": "Use this field if you want to specify a Google Cloud Storage path for\nthe model to use.",
- "type": "string"
}
},
"type": "object"
},
- "GoogleCloudMlV1__OperationMetadata": {
- "description": "Represents the metadata of the long-running operation.",
- "id": "GoogleCloudMlV1__OperationMetadata",
+ "GoogleCloudMlV1beta1__OperationMetadata": {
+ "description": "Represents the metadata of the long-running operation.\n\nNext ID: 9",
+ "id": "GoogleCloudMlV1beta1__OperationMetadata",
"properties": {
"modelName": {
"description": "Contains the name of the model associated with the operation.",
"type": "string"
},
"version": {
- "$ref": "GoogleCloudMlV1__Version",
+ "$ref": "GoogleCloudMlV1beta1__Version",
"description": "Contains the version associated with the operation."
},
"endTime": {
@@ -836,13 +932,17 @@
"OPERATION_TYPE_UNSPECIFIED",
"CREATE_VERSION",
"DELETE_VERSION",
- "DELETE_MODEL"
+ "DELETE_MODEL",
+ "UPDATE_MODEL",
+ "UPDATE_VERSION"
],
"enumDescriptions": [
"Unspecified operation type.",
"An operation to create a new version.",
"An operation to delete an existing version.",
- "An operation to delete an existing model."
+ "An operation to delete an existing model.",
+ "An operation to update an existing model.",
+ "An operation to update an existing version."
],
"type": "string"
},
@@ -859,34 +959,16 @@
"description": "The time the operation was submitted.",
"format": "google-datetime",
"type": "string"
- }
- },
- "type": "object"
- },
- "GoogleCloudMlV1beta1__OperationMetadata": {
- "description": "Represents the metadata of the long-running operation.",
- "id": "GoogleCloudMlV1beta1__OperationMetadata",
- "properties": {
- "startTime": {
- "description": "The time operation processing started.",
- "format": "google-datetime",
- "type": "string"
- },
- "isCancellationRequested": {
- "description": "Indicates whether a request to cancel this operation has been made.",
- "type": "boolean"
- },
- "createTime": {
- "description": "The time the operation was submitted.",
- "format": "google-datetime",
- "type": "string"
- },
- "modelName": {
- "description": "Contains the name of the model associated with the operation.",
- "type": "string"
- },
+ }
+ },
+ "type": "object"
+ },
+ "GoogleCloudMlV1__OperationMetadata": {
+ "description": "Represents the metadata of the long-running operation.\n\nNext ID: 9",
+ "id": "GoogleCloudMlV1__OperationMetadata",
+ "properties": {
"version": {
- "$ref": "GoogleCloudMlV1beta1__Version",
+ "$ref": "GoogleCloudMlV1__Version",
"description": "Contains the version associated with the operation."
},
"endTime": {
@@ -900,15 +982,37 @@
"OPERATION_TYPE_UNSPECIFIED",
"CREATE_VERSION",
"DELETE_VERSION",
- "DELETE_MODEL"
+ "DELETE_MODEL",
+ "UPDATE_MODEL",
+ "UPDATE_VERSION"
],
"enumDescriptions": [
"Unspecified operation type.",
"An operation to create a new version.",
"An operation to delete an existing version.",
- "An operation to delete an existing model."
+ "An operation to delete an existing model.",
+ "An operation to update an existing model.",
+ "An operation to update an existing version."
],
"type": "string"
+ },
+ "startTime": {
+ "description": "The time operation processing started.",
+ "format": "google-datetime",
+ "type": "string"
+ },
+ "isCancellationRequested": {
+ "description": "Indicates whether a request to cancel this operation has been made.",
+ "type": "boolean"
+ },
+ "createTime": {
+ "description": "The time the operation was submitted.",
+ "format": "google-datetime",
+ "type": "string"
+ },
+ "modelName": {
+ "description": "Contains the name of the model associated with the operation.",
+ "type": "string"
}
},
"type": "object"
@@ -917,6 +1021,13 @@
"description": "Provides the configuration for logging a type of permissions.\nExample:\n\n {\n \"audit_log_configs\": [\n {\n \"log_type\": \"DATA_READ\",\n \"exempted_members\": [\n \"user:foo@gmail.com\"\n ]\n },\n {\n \"log_type\": \"DATA_WRITE\",\n }\n ]\n }\n\nThis enables 'DATA_READ' and 'DATA_WRITE' logging, while exempting\nfoo@gmail.com from DATA_READ logging.",
"id": "GoogleIamV1__AuditLogConfig",
"properties": {
+ "exemptedMembers": {
+ "description": "Specifies the identities that do not cause logging for this type of\npermission.\nFollows the same format of Binding.members.",
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ },
"logType": {
"description": "The log type that this config enables.",
"enum": [
@@ -932,13 +1043,6 @@
"Data reads. Example: CloudSQL Users list"
],
"type": "string"
- },
- "exemptedMembers": {
- "description": "Specifies the identities that do not cause logging for this type of\npermission.\nFollows the same format of Binding.members.",
- "items": {
- "type": "string"
- },
- "type": "array"
}
},
"type": "object"
@@ -947,10 +1051,6 @@
"description": "Represents an expression text. Example:\n\n title: \"User account presence\"\n description: \"Determines whether the request has a user account\"\n expression: \"size(request.user) > 0\"",
"id": "GoogleType__Expr",
"properties": {
- "expression": {
- "description": "Textual representation of an expression in\nCommon Expression Language syntax.\n\nThe application context of the containing message determines which\nwell-known feature set of CEL is supported.",
- "type": "string"
- },
"location": {
"description": "An optional string indicating the location of the expression for error\nreporting, e.g. a file name and a position in the file.",
"type": "string"
@@ -962,6 +1062,10 @@
"description": {
"description": "An optional description of the expression. This is a longer text which\ndescribes the expression, e.g. when hovered over it in a UI.",
"type": "string"
+ },
+ "expression": {
+ "description": "Textual representation of an expression in\nCommon Expression Language syntax.\n\nThe application context of the containing message determines which\nwell-known feature set of CEL is supported.",
+ "type": "string"
}
},
"type": "object"
@@ -970,6 +1074,18 @@
"description": "Represents a set of hyperparameters to optimize.",
"id": "GoogleCloudMlV1__HyperparameterSpec",
"properties": {
+ "maxTrials": {
+ "description": "Optional. How many training trials should be attempted to optimize\nthe specified hyperparameters.\n\nDefaults to one.",
+ "format": "int32",
+ "type": "integer"
+ },
+ "params": {
+ "description": "Required. The set of parameters to tune.",
+ "items": {
+ "$ref": "GoogleCloudMlV1__ParameterSpec"
+ },
+ "type": "array"
+ },
"maxParallelTrials": {
"description": "Optional. The number of training trials to run concurrently.\nYou can reduce the time it takes to perform hyperparameter tuning by adding\ntrials in parallel. However, each trail only benefits from the information\ngained in completed trials. That means that a trial does not get access to\nthe results of trials running at the same time, which could reduce the\nquality of the overall optimization.\n\nEach trial will use the same scale tier and machine types.\n\nDefaults to one.",
"format": "int32",
@@ -992,18 +1108,6 @@
"Minimize the goal metric."
],
"type": "string"
- },
- "maxTrials": {
- "description": "Optional. How many training trials should be attempted to optimize\nthe specified hyperparameters.\n\nDefaults to one.",
- "format": "int32",
- "type": "integer"
- },
- "params": {
- "description": "Required. The set of parameters to tune.",
- "items": {
- "$ref": "GoogleCloudMlV1__ParameterSpec"
- },
- "type": "array"
}
},
"type": "object"
@@ -1012,16 +1116,16 @@
"description": "Response message for the ListJobs method.",
"id": "GoogleCloudMlV1__ListJobsResponse",
"properties": {
- "nextPageToken": {
- "description": "Optional. Pass this token as the `page_token` field of the request for a\nsubsequent call.",
- "type": "string"
- },
"jobs": {
"description": "The list of jobs.",
"items": {
"$ref": "GoogleCloudMlV1__Job"
},
"type": "array"
+ },
+ "nextPageToken": {
+ "description": "Optional. Pass this token as the `page_token` field of the request for a\nsubsequent call.",
+ "type": "string"
}
},
"type": "object"
@@ -1067,34 +1171,14 @@
},
"type": "object"
},
- "GoogleIamV1__AuditConfig": {
- "description": "Specifies the audit configuration for a service.\nThe configuration determines which permission types are logged, and what\nidentities, if any, are exempted from logging.\nAn AuditConfig must have one or more AuditLogConfigs.\n\nIf there are AuditConfigs for both `allServices` and a specific service,\nthe union of the two AuditConfigs is used for that service: the log_types\nspecified in each AuditConfig are enabled, and the exempted_members in each\nAuditConfig are exempted.\n\nExample Policy with multiple AuditConfigs:\n\n {\n \"audit_configs\": [\n {\n \"service\": \"allServices\"\n \"audit_log_configs\": [\n {\n \"log_type\": \"DATA_READ\",\n \"exempted_members\": [\n \"user:foo@gmail.com\"\n ]\n },\n {\n \"log_type\": \"DATA_WRITE\",\n },\n {\n \"log_type\": \"ADMIN_READ\",\n }\n ]\n },\n {\n \"service\": \"fooservice.googleapis.com\"\n \"audit_log_configs\": [\n {\n \"log_type\": \"DATA_READ\",\n },\n {\n \"log_type\": \"DATA_WRITE\",\n \"exempted_members\": [\n \"user:bar@gmail.com\"\n ]\n }\n ]\n }\n ]\n }\n\nFor fooservice, this policy enables DATA_READ, DATA_WRITE and ADMIN_READ\nlogging. It also exempts foo@gmail.com from DATA_READ logging, and\nbar@gmail.com from DATA_WRITE logging.",
- "id": "GoogleIamV1__AuditConfig",
- "properties": {
- "service": {
- "description": "Specifies a service that will be enabled for audit logging.\nFor example, `storage.googleapis.com`, `cloudsql.googleapis.com`.\n`allServices` is a special value that covers all services.",
- "type": "string"
- },
- "auditLogConfigs": {
- "description": "The configuration for logging of each type of permission.\nNext ID: 4",
- "items": {
- "$ref": "GoogleIamV1__AuditLogConfig"
- },
- "type": "array"
- },
- "exemptedMembers": {
- "items": {
- "type": "string"
- },
- "type": "array"
- }
- },
- "type": "object"
- },
"GoogleCloudMlV1__Model": {
- "description": "Represents a machine learning solution.\n\nA model can have multiple versions, each of which is a deployed, trained\nmodel ready to receive prediction requests. The model itself is just a\ncontainer.",
+ "description": "Represents a machine learning solution.\n\nA model can have multiple versions, each of which is a deployed, trained\nmodel ready to receive prediction requests. The model itself is just a\ncontainer.\n\nNext ID: 8",
"id": "GoogleCloudMlV1__Model",
"properties": {
+ "onlinePredictionLogging": {
+ "description": "Optional. If true, enables StackDriver Logging for online prediction.\nDefault is false.",
+ "type": "boolean"
+ },
"defaultVersion": {
"$ref": "GoogleCloudMlV1__Version",
"description": "Output only. The default version of the model. This version will be used to\nhandle prediction requests that do not specify a version.\n\nYou can change the default version by calling\n[projects.methods.versions.setDefault](/ml-engine/reference/rest/v1/projects.models.versions/setDefault)."
@@ -1113,10 +1197,30 @@
"description": {
"description": "Optional. The description specified for the model when it was created.",
"type": "string"
+ }
+ },
+ "type": "object"
+ },
+ "GoogleIamV1__AuditConfig": {
+ "description": "Specifies the audit configuration for a service.\nThe configuration determines which permission types are logged, and what\nidentities, if any, are exempted from logging.\nAn AuditConfig must have one or more AuditLogConfigs.\n\nIf there are AuditConfigs for both `allServices` and a specific service,\nthe union of the two AuditConfigs is used for that service: the log_types\nspecified in each AuditConfig are enabled, and the exempted_members in each\nAuditConfig are exempted.\n\nExample Policy with multiple AuditConfigs:\n\n {\n \"audit_configs\": [\n {\n \"service\": \"allServices\"\n \"audit_log_configs\": [\n {\n \"log_type\": \"DATA_READ\",\n \"exempted_members\": [\n \"user:foo@gmail.com\"\n ]\n },\n {\n \"log_type\": \"DATA_WRITE\",\n },\n {\n \"log_type\": \"ADMIN_READ\",\n }\n ]\n },\n {\n \"service\": \"fooservice.googleapis.com\"\n \"audit_log_configs\": [\n {\n \"log_type\": \"DATA_READ\",\n },\n {\n \"log_type\": \"DATA_WRITE\",\n \"exempted_members\": [\n \"user:bar@gmail.com\"\n ]\n }\n ]\n }\n ]\n }\n\nFor fooservice, this policy enables DATA_READ, DATA_WRITE and ADMIN_READ\nlogging. It also exempts foo@gmail.com from DATA_READ logging, and\nbar@gmail.com from DATA_WRITE logging.",
+ "id": "GoogleIamV1__AuditConfig",
+ "properties": {
+ "auditLogConfigs": {
+ "description": "The configuration for logging of each type of permission.\nNext ID: 4",
+ "items": {
+ "$ref": "GoogleIamV1__AuditLogConfig"
+ },
+ "type": "array"
},
- "onlinePredictionLogging": {
- "description": "Optional. If true, enables StackDriver Logging for online prediction.\nDefault is false.",
- "type": "boolean"
+ "exemptedMembers": {
+ "items": {
+ "type": "string"
+ },
+ "type": "array"
+ },
+ "service": {
+ "description": "Specifies a service that will be enabled for audit logging.\nFor example, `storage.googleapis.com`, `cloudsql.googleapis.com`.\n`allServices` is a special value that covers all services.",
+ "type": "string"
}
},
"type": "object"
@@ -1151,16 +1255,16 @@
"description": "Response message for the ListVersions method.",
"id": "GoogleCloudMlV1__ListVersionsResponse",
"properties": {
+ "nextPageToken": {
+ "description": "Optional. Pass this token as the `page_token` field of the request for a\nsubsequent call.",
+ "type": "string"
+ },
"versions": {
"description": "The list of versions.",
"items": {
"$ref": "GoogleCloudMlV1__Version"
},
"type": "array"
- },
- "nextPageToken": {
- "description": "Optional. Pass this token as the `page_token` field of the request for a\nsubsequent call.",
- "type": "string"
}
},
"type": "object"
@@ -1178,13 +1282,9 @@
"type": "object"
},
"GoogleIamV1__LogConfig": {
- "description": "Specifies what kind of log the caller must write\nIncrement a streamz counter with the specified metric and field names.\n\nMetric names should start with a '/', generally be lowercase-only,\nand end in \"_count\". Field names should not contain an initial slash.\nThe actual exported metric names will have \"/iam/policy\" prepended.\n\nField names correspond to IAM request parameters and field values are\ntheir respective values.\n\nAt present the only supported field names are\n - \"iam_principal\", corresponding to IAMContext.principal;\n - \"\" (empty string), resulting in one aggretated counter with no field.\n\nExamples:\n counter { metric: \"/debug_access_count\" field: \"iam_principal\" }\n ==> increment counter /iam/policy/backend_debug_access_count\n {iam_principal=[value of IAMContext.principal]}\n\nAt this time we do not support:\n* multiple field names (though this may be supported in the future)\n* decrementing the counter\n* incrementing it by anything other than 1",
+ "description": "Specifies what kind of log the caller must write",
"id": "GoogleIamV1__LogConfig",
"properties": {
- "dataAccess": {
- "$ref": "GoogleIamV1_LogConfig_DataAccessOptions",
- "description": "Data access options."
- },
"cloudAudit": {
"$ref": "GoogleIamV1_LogConfig_CloudAuditOptions",
"description": "Cloud audit options."
@@ -1192,6 +1292,10 @@
"counter": {
"$ref": "GoogleIamV1_LogConfig_CounterOptions",
"description": "Counter options."
+ },
+ "dataAccess": {
+ "$ref": "GoogleIamV1_LogConfig_DataAccessOptions",
+ "description": "Data access options."
}
},
"type": "object"
@@ -1235,29 +1339,28 @@
},
"type": "object"
},
- "GoogleCloudMlV1__TrainingInput": {
- "description": "Represents input parameters for a training job.",
- "id": "GoogleCloudMlV1__TrainingInput",
+ "GoogleCloudMlV1__ListModelsResponse": {
+ "description": "Response message for the ListModels method.",
+ "id": "GoogleCloudMlV1__ListModelsResponse",
"properties": {
- "workerType": {
- "description": "Optional. Specifies the type of virtual machine to use for your training\njob's worker nodes.\n\nThe supported values are the same as those described in the entry for\n`masterType`.\n\nThis value must be present when `scaleTier` is set to `CUSTOM` and\n`workerCount` is greater than zero.",
+ "nextPageToken": {
+ "description": "Optional. Pass this token as the `page_token` field of the request for a\nsubsequent call.",
"type": "string"
},
- "args": {
- "description": "Optional. Command line arguments to pass to the program.",
+ "models": {
+ "description": "The list of models.",
"items": {
- "type": "string"
+ "$ref": "GoogleCloudMlV1__Model"
},
"type": "array"
- },
- "region": {
- "description": "Required. The Google Compute Engine region to run the training job in.",
- "type": "string"
- },
- "parameterServerType": {
- "description": "Optional. Specifies the type of virtual machine to use for your training\njob's parameter server.\n\nThe supported values are the same as those described in the entry for\n`master_type`.\n\nThis value must be present when `scaleTier` is set to `CUSTOM` and\n`parameter_server_count` is greater than zero.",
- "type": "string"
- },
+ }
+ },
+ "type": "object"
+ },
+ "GoogleCloudMlV1__TrainingInput": {
+ "description": "Represents input parameters for a training job.",
+ "id": "GoogleCloudMlV1__TrainingInput",
+ "properties": {
"scaleTier": {
"description": "Required. Specifies the machine types, the number of replicas for workers\nand parameter servers.",
"enum": [
@@ -1271,7 +1374,7 @@
"A single worker instance. This tier is suitable for learning how to use\nCloud ML, and for experimenting with new models using small datasets.",
"Many workers and a few parameter servers.",
"A large number of workers with many parameter servers.",
- "A single worker instance [with a GPU](/ml-engine/docs/how-tos/using-gpus).",
+ "A single worker instance [with a\nGPU](/ml-engine/docs/how-tos/using-gpus).",
"The CUSTOM tier is not a set tier, but rather enables you to use your\nown cluster specification. When you use this tier, set values to\nconfigure your processing cluster according to these guidelines:\n\n* You _must_ set `TrainingInput.masterType` to specify the type\n of machine to use for your master node. This is the only required\n setting.\n\n* You _may_ set `TrainingInput.workerCount` to specify the number of\n workers to use. If you specify one or more workers, you _must_ also\n set `TrainingInput.workerType` to specify the type of machine to use\n for your worker nodes.\n\n* You _may_ set `TrainingInput.parameterServerCount` to specify the\n number of parameter servers to use. If you specify one or more\n parameter servers, you _must_ also set\n `TrainingInput.parameterServerType` to specify the type of machine to\n use for your parameter servers.\n\nNote that all of your workers must use the same machine type, which can\nbe different from your parameter server type and master type. Your\nparameter servers must likewise use the same machine type, which can be\ndifferent from your worker type and master type."
],
"type": "string"
@@ -1312,52 +1415,45 @@
"pythonModule": {
"description": "Required. The Python module name to run after installing the packages.",
"type": "string"
- }
- },
- "type": "object"
- },
- "GoogleCloudMlV1__ListModelsResponse": {
- "description": "Response message for the ListModels method.",
- "id": "GoogleCloudMlV1__ListModelsResponse",
- "properties": {
- "nextPageToken": {
- "description": "Optional. Pass this token as the `page_token` field of the request for a\nsubsequent call.",
+ },
+ "workerType": {
+ "description": "Optional. Specifies the type of virtual machine to use for your training\njob's worker nodes.\n\nThe supported values are the same as those described in the entry for\n`masterType`.\n\nThis value must be present when `scaleTier` is set to `CUSTOM` and\n`workerCount` is greater than zero.",
"type": "string"
},
- "models": {
- "description": "The list of models.",
+ "args": {
+ "description": "Optional. Command line arguments to pass to the program.",
"items": {
- "$ref": "GoogleCloudMlV1__Model"
+ "type": "string"
},
"type": "array"
+ },
+ "region": {
+ "description": "Required. The Google Compute Engine region to run the training job in.",
+ "type": "string"
+ },
+ "parameterServerType": {
+ "description": "Optional. Specifies the type of virtual machine to use for your training\njob's parameter server.\n\nThe supported values are the same as those described in the entry for\n`master_type`.\n\nThis value must be present when `scaleTier` is set to `CUSTOM` and\n`parameter_server_count` is greater than zero.",
+ "type": "string"
}
},
"type": "object"
},
"GoogleCloudMlV1__Job": {
- "description": "Represents a training or prediction job.",
+ "description": "Represents a training or prediction job.\n\nNext ID: 16",
"id": "GoogleCloudMlV1__Job",
"properties": {
- "predictionOutput": {
- "$ref": "GoogleCloudMlV1__PredictionOutput",
- "description": "The current prediction job result."
- },
"trainingOutput": {
"$ref": "GoogleCloudMlV1__TrainingOutput",
"description": "The current training job result."
},
- "createTime": {
- "description": "Output only. When the job was created.",
- "format": "google-datetime",
- "type": "string"
- },
"trainingInput": {
"$ref": "GoogleCloudMlV1__TrainingInput",
"description": "Input parameters to create a training job."
},
- "predictionInput": {
- "$ref": "GoogleCloudMlV1__PredictionInput",
- "description": "Input parameters to create a prediction job."
+ "createTime": {
+ "description": "Output only. When the job was created.",
+ "format": "google-datetime",
+ "type": "string"
},
"state": {
"description": "Output only. The detailed state of a job.",
@@ -1383,14 +1479,18 @@
],
"type": "string"
},
- "jobId": {
- "description": "Required. The user-specified id of the job.",
- "type": "string"
+ "predictionInput": {
+ "$ref": "GoogleCloudMlV1__PredictionInput",
+ "description": "Input parameters to create a prediction job."
},
"errorMessage": {
"description": "Output only. The details of a failure or a cancellation.",
"type": "string"
},
+ "jobId": {
+ "description": "Required. The user-specified id of the job.",
+ "type": "string"
+ },
"endTime": {
"description": "Output only. When the job processing was completed.",
"format": "google-datetime",
@@ -1400,6 +1500,10 @@
"description": "Output only. When the job processing was started.",
"format": "google-datetime",
"type": "string"
+ },
+ "predictionOutput": {
+ "$ref": "GoogleCloudMlV1__PredictionOutput",
+ "description": "The current prediction job result."
}
},
"type": "object"
@@ -1431,30 +1535,29 @@
},
"type": "object"
},
+ "GoogleCloudMlV1__GetConfigResponse": {
+ "description": "Returns service account information associated with a project.",
+ "id": "GoogleCloudMlV1__GetConfigResponse",
+ "properties": {
+ "serviceAccountProject": {
+ "description": "The project number for `service_account`.",
+ "format": "int64",
+ "type": "string"
+ },
+ "serviceAccount": {
+ "description": "The service account Cloud ML uses to access resources in the project.",
+ "type": "string"
+ }
+ },
+ "type": "object"
+ },
"GoogleCloudMlV1beta1__Version": {
- "description": "Represents a version of the model.\n\nEach version is a trained model deployed in the cloud, ready to handle\nprediction requests. A model can have multiple versions. You can get\ninformation about all of the versions of a given model by calling\n[projects.models.versions.list](/ml-engine/reference/rest/v1beta1/projects.models.versions/list).",
+ "description": "Represents a version of the model.\n\nEach version is a trained model deployed in the cloud, ready to handle\nprediction requests. A model can have multiple versions. You can get\ninformation about all of the versions of a given model by calling\n[projects.models.versions.list](/ml-engine/reference/rest/v1beta1/projects.models.versions/list).\n\nNext ID: 18",
"id": "GoogleCloudMlV1beta1__Version",
"properties": {
- "description": {
- "description": "Optional. The description specified for the version when it was created.",
- "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\ndeployment](/ml-engine/docs/concepts/deployment-overview) for more\ninformation.\n\nWhen passing Version to\n[projects.models.versions.create](/ml-engine/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.\nThe total number of model files can't exceed 1000.",
- "type": "string"
- },
- "autoScaling": {
- "$ref": "GoogleCloudMlV1beta1__AutoScaling",
- "description": "Automatically scale the number of nodes used to serve the model in\nresponse to increases and decreases in traffic. Care should be\ntaken to ramp up traffic according to the model's ability to scale\nor you will start seeing increases in latency and 429 response codes."
- },
- "isDefault": {
- "description": "Output only. If true, this version will be used to handle prediction\nrequests that do not specify a version.\n\nYou can change the default version by calling\n[projects.methods.versions.setDefault](/ml-engine/reference/rest/v1beta1/projects.models.versions/setDefault).",
- "type": "boolean"
- },
- "createTime": {
- "description": "Output only. The time the version was created.",
- "format": "google-datetime",
- "type": "string"
+ "manualScaling": {
+ "$ref": "GoogleCloudMlV1beta1__ManualScaling",
+ "description": "Manually select the number of nodes to use for serving the\nmodel. You should generally use `auto_scaling` with an appropriate\n`min_nodes` instead, but this option is available if you want more\npredictable billing. Beware that latency and error rates will increase\nif the traffic exceeds that capability of the system to serve it based\non the selected number of nodes."
},
"state": {
"description": "Output only. The state of a version.",
@@ -1462,20 +1565,18 @@
"UNKNOWN",
"READY",
"CREATING",
- "FAILED"
+ "FAILED",
+ "DELETING"
],
"enumDescriptions": [
"The version state is unspecified.",
"The version is ready for prediction.",
- "The version is still in the process of creation.",
- "The version failed to be created, possibly cancelled.\n`error_message` should contain the details of the failure."
+ "The version is in the process of creation.",
+ "The version failed to be created, possibly cancelled.\n`error_message` should contain the details of the failure.",
+ "The version is in the process of deletion."
],
"type": "string"
},
- "manualScaling": {
- "$ref": "GoogleCloudMlV1beta1__ManualScaling",
- "description": "Manually select the number of nodes to use for serving the\nmodel. You should generally use `auto_scaling` with an appropriate\n`min_nodes` instead, but this option is available if you want more\npredictable billing. Beware that latency and error rates will increase\nif the traffic exceeds that capability of the system to serve it based\non the selected number of nodes."
- },
"name": {
"description": "Required.The name specified for the version when it was created.\n\nThe version name must be unique within the model it is created in.",
"type": "string"
@@ -1492,21 +1593,26 @@
"description": "Output only. The time the version was last used for prediction.",
"format": "google-datetime",
"type": "string"
- }
- },
- "type": "object"
- },
- "GoogleCloudMlV1__GetConfigResponse": {
- "description": "Returns service account information associated with a project.",
- "id": "GoogleCloudMlV1__GetConfigResponse",
- "properties": {
- "serviceAccountProject": {
- "description": "The project number for `service_account`.",
- "format": "int64",
+ },
+ "description": {
+ "description": "Optional. The description specified for the version when it was created.",
"type": "string"
},
- "serviceAccount": {
- "description": "The service account Cloud ML uses to access resources in the project.",
+ "deploymentUri": {
+ "description": "Required. The Google Cloud Storage location of the trained model used to\ncreate the version. See the\n[overview of model\ndeployment](/ml-engine/docs/concepts/deployment-overview) for more\ninformation.\n\nWhen passing Version to\n[projects.models.versions.create](/ml-engine/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.\nThe total number of model files can't exceed 1000.",
+ "type": "string"
+ },
+ "isDefault": {
+ "description": "Output only. If true, this version will be used to handle prediction\nrequests that do not specify a version.\n\nYou can change the default version by calling\n[projects.methods.versions.setDefault](/ml-engine/reference/rest/v1beta1/projects.models.versions/setDefault).",
+ "type": "boolean"
+ },
+ "autoScaling": {
+ "$ref": "GoogleCloudMlV1beta1__AutoScaling",
+ "description": "Automatically scale the number of nodes used to serve the model in\nresponse to increases and decreases in traffic. Care should be\ntaken to ramp up traffic according to the model's ability to scale\nor you will start seeing increases in latency and 429 response codes."
+ },
+ "createTime": {
+ "description": "Output only. The time the version was created.",
+ "format": "google-datetime",
"type": "string"
}
},
@@ -1526,26 +1632,21 @@
},
"type": "object"
},
- "GoogleIamV1__SetIamPolicyRequest": {
- "description": "Request message for `SetIamPolicy` method.",
- "id": "GoogleIamV1__SetIamPolicyRequest",
- "properties": {
- "policy": {
- "$ref": "GoogleIamV1__Policy",
- "description": "REQUIRED: The complete policy to be applied to the `resource`. The size of\nthe policy is limited to a few 10s of KB. An empty policy is a\nvalid policy but certain Cloud Platform services (such as Projects)\nmight reject them."
- },
- "updateMask": {
- "description": "OPTIONAL: A FieldMask specifying which fields of the policy to modify. Only\nthe fields in the mask will be modified. If no mask is provided, the\nfollowing default mask is used:\npaths: \"bindings, etag\"\nThis field is only used by Cloud IAM.",
- "format": "google-fieldmask",
- "type": "string"
- }
- },
- "type": "object"
- },
"GoogleCloudMlV1__HyperparameterOutput": {
"description": "Represents the result of a single hyperparameter tuning trial from a\ntraining job. The TrainingOutput object that is returned on successful\ncompletion of a training job with hyperparameter tuning includes a list\nof HyperparameterOutput objects, one for each successful trial.",
"id": "GoogleCloudMlV1__HyperparameterOutput",
"properties": {
+ "allMetrics": {
+ "description": "All recorded object metrics for this trial.",
+ "items": {
+ "$ref": "GoogleCloudMlV1_HyperparameterOutput_HyperparameterMetric"
+ },
+ "type": "array"
+ },
+ "finalMetric": {
+ "$ref": "GoogleCloudMlV1_HyperparameterOutput_HyperparameterMetric",
+ "description": "The final objective metric seen for this trial."
+ },
"hyperparameters": {
"additionalProperties": {
"type": "string"
@@ -1556,17 +1657,22 @@
"trialId": {
"description": "The trial id for these results.",
"type": "string"
+ }
+ },
+ "type": "object"
+ },
+ "GoogleIamV1__SetIamPolicyRequest": {
+ "description": "Request message for `SetIamPolicy` method.",
+ "id": "GoogleIamV1__SetIamPolicyRequest",
+ "properties": {
+ "updateMask": {
+ "description": "OPTIONAL: A FieldMask specifying which fields of the policy to modify. Only\nthe fields in the mask will be modified. If no mask is provided, the\nfollowing default mask is used:\npaths: \"bindings, etag\"\nThis field is only used by Cloud IAM.",
+ "format": "google-fieldmask",
+ "type": "string"
},
- "allMetrics": {
- "description": "All recorded object metrics for this trial.",
- "items": {
- "$ref": "GoogleCloudMlV1_HyperparameterOutput_HyperparameterMetric"
- },
- "type": "array"
- },
- "finalMetric": {
- "$ref": "GoogleCloudMlV1_HyperparameterOutput_HyperparameterMetric",
- "description": "The final objective metric seen for this trial."
+ "policy": {
+ "$ref": "GoogleIamV1__Policy",
+ "description": "REQUIRED: The complete policy to be applied to the `resource`. The size of\nthe policy is limited to a few 10s of KB. An empty policy is a\nvalid policy but certain Cloud Platform services (such as Projects)\nmight reject them."
}
},
"type": "object"
@@ -1575,6 +1681,11 @@
"description": "Represents results of a prediction job.",
"id": "GoogleCloudMlV1__PredictionOutput",
"properties": {
+ "predictionCount": {
+ "description": "The number of generated predictions.",
+ "format": "int64",
+ "type": "string"
+ },
"errorCount": {
"description": "The number of data instances which resulted in errors.",
"format": "int64",
@@ -1588,11 +1699,6 @@
"outputPath": {
"description": "The output Google Cloud Storage location provided at the job creation time.",
"type": "string"
- },
- "predictionCount": {
- "description": "The number of generated predictions.",
- "format": "int64",
- "type": "string"
}
},
"type": "object"
@@ -1642,16 +1748,16 @@
"description": "The response message for Operations.ListOperations.",
"id": "GoogleLongrunning__ListOperationsResponse",
"properties": {
+ "nextPageToken": {
+ "description": "The standard List next-page token.",
+ "type": "string"
+ },
"operations": {
"description": "A list of operations that matches the specified filter in the request.",
"items": {
"$ref": "GoogleLongrunning__Operation"
},
"type": "array"
- },
- "nextPageToken": {
- "description": "The standard List next-page token.",
- "type": "string"
}
},
"type": "object"
@@ -1660,32 +1766,6 @@
"description": "A condition to be met.",
"id": "GoogleIamV1__Condition",
"properties": {
- "svc": {
- "description": "Trusted attributes discharged by the service.",
- "type": "string"
- },
- "sys": {
- "description": "Trusted attributes supplied by any service that owns resources and uses\nthe IAM system for access control.",
- "enum": [
- "NO_ATTR",
- "REGION",
- "SERVICE",
- "NAME",
- "IP"
- ],
- "enumDescriptions": [
- "Default non-attribute type",
- "Region of the resource",
- "Service name",
- "Resource name",
- "IP address of the caller"
- ],
- "type": "string"
- },
- "value": {
- "description": "DEPRECATED. Use 'values' instead.",
- "type": "string"
- },
"values": {
"description": "The objects of the condition. This is mutually exclusive with 'value'.",
"items": {
@@ -1730,6 +1810,32 @@
"Subject is discharged"
],
"type": "string"
+ },
+ "svc": {
+ "description": "Trusted attributes discharged by the service.",
+ "type": "string"
+ },
+ "value": {
+ "description": "DEPRECATED. Use 'values' instead.",
+ "type": "string"
+ },
+ "sys": {
+ "description": "Trusted attributes supplied by any service that owns resources and uses\nthe IAM system for access control.",
+ "enum": [
+ "NO_ATTR",
+ "REGION",
+ "SERVICE",
+ "NAME",
+ "IP"
+ ],
+ "enumDescriptions": [
+ "Default non-attribute type",
+ "Region of the resource",
+ "Service name",
+ "Resource name",
+ "IP address of the caller"
+ ],
+ "type": "string"
}
},
"type": "object"
@@ -1750,10 +1856,6 @@
"description": "Associates `members` with a `role`.",
"id": "GoogleIamV1__Binding",
"properties": {
- "role": {
- "description": "Role that is assigned to `members`.\nFor example, `roles/viewer`, `roles/editor`, or `roles/owner`.\nRequired",
- "type": "string"
- },
"condition": {
"$ref": "GoogleType__Expr",
"description": "The condition that is associated with this binding.\nNOTE: an unsatisfied condition will not allow user access via current\nbinding. Different bindings, including their conditions, are examined\nindependently.\nThis field is GOOGLE_INTERNAL."
@@ -1764,6 +1866,10 @@
"type": "string"
},
"type": "array"
+ },
+ "role": {
+ "description": "Role that is assigned to `members`.\nFor example, `roles/viewer`, `roles/editor`, or `roles/owner`.\nRequired",
+ "type": "string"
}
},
"type": "object"
@@ -1772,13 +1878,6 @@
"description": "Represents results of a training job. Output only.",
"id": "GoogleCloudMlV1__TrainingOutput",
"properties": {
- "trials": {
- "description": "Results for individual Hyperparameter trials.\nOnly set for hyperparameter tuning jobs.",
- "items": {
- "$ref": "GoogleCloudMlV1__HyperparameterOutput"
- },
- "type": "array"
- },
"completedTrialCount": {
"description": "The number of hyperparameter tuning trials that completed successfully.\nOnly set for hyperparameter tuning jobs.",
"format": "int64",
@@ -1792,6 +1891,13 @@
"description": "The amount of ML units consumed by the job.",
"format": "double",
"type": "number"
+ },
+ "trials": {
+ "description": "Results for individual Hyperparameter trials.\nOnly set for hyperparameter tuning jobs.",
+ "items": {
+ "$ref": "GoogleCloudMlV1__HyperparameterOutput"
+ },
+ "type": "array"
}
},
"type": "object"
@@ -1875,7 +1981,7 @@
"type": "object"
},
"GoogleIamV1_LogConfig_CounterOptions": {
- "description": "Options for counters",
+ "description": "Increment a streamz counter with the specified metric and field names.\n\nMetric names should start with a '/', generally be lowercase-only,\nand end in \"_count\". Field names should not contain an initial slash.\nThe actual exported metric names will have \"/iam/policy\" prepended.\n\nField names correspond to IAM request parameters and field values are\ntheir respective values.\n\nAt present the only supported field names are\n - \"iam_principal\", corresponding to IAMContext.principal;\n - \"\" (empty string), resulting in one aggretated counter with no field.\n\nExamples:\n counter { metric: \"/debug_access_count\" field: \"iam_principal\" }\n ==> increment counter /iam/policy/backend_debug_access_count\n {iam_principal=[value of IAMContext.principal]}\n\nAt this time we do not support:\n* multiple field names (though this may be supported in the future)\n* decrementing the counter\n* incrementing it by anything other than 1",
"id": "GoogleIamV1_LogConfig_CounterOptions",
"properties": {
"field": {
@@ -1939,9 +2045,31 @@
"type": "object"
},
"GoogleCloudMlV1__Version": {
- "description": "Represents a version of the model.\n\nEach version is a trained model deployed in the cloud, ready to handle\nprediction requests. A model can have multiple versions. You can get\ninformation about all of the versions of a given model by calling\n[projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list).",
+ "description": "Represents a version of the model.\n\nEach version is a trained model deployed in the cloud, ready to handle\nprediction requests. A model can have multiple versions. You can get\ninformation about all of the versions of a given model by calling\n[projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list).\n\nNext ID: 18",
"id": "GoogleCloudMlV1__Version",
"properties": {
+ "state": {
+ "description": "Output only. The state of a version.",
+ "enum": [
+ "UNKNOWN",
+ "READY",
+ "CREATING",
+ "FAILED",
+ "DELETING"
+ ],
+ "enumDescriptions": [
+ "The version state is unspecified.",
+ "The version is ready for prediction.",
+ "The version is in the process of creation.",
+ "The version failed to be created, possibly cancelled.\n`error_message` should contain the details of the failure.",
+ "The version is in the process of deletion."
+ ],
+ "type": "string"
+ },
+ "manualScaling": {
+ "$ref": "GoogleCloudMlV1__ManualScaling",
+ "description": "Manually select the number of nodes to use for serving the\nmodel. You should generally use `auto_scaling` with an appropriate\n`min_nodes` instead, but this option is available if you want more\npredictable billing. Beware that latency and error rates will increase\nif the traffic exceeds that capability of the system to serve it based\non the selected number of nodes."
+ },
"name": {
"description": "Required.The name specified for the version when it was created.\n\nThe version name must be unique within the model it is created in.",
"type": "string"
@@ -1967,38 +2095,18 @@
"description": "Required. The Google Cloud Storage location of the trained model used to\ncreate the version. See the\n[overview of model\ndeployment](/ml-engine/docs/concepts/deployment-overview) for more\ninformation.\n\nWhen passing Version to\n[projects.models.versions.create](/ml-engine/reference/rest/v1/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.\nThe total number of model files can't exceed 1000.",
"type": "string"
},
- "autoScaling": {
- "$ref": "GoogleCloudMlV1__AutoScaling",
- "description": "Automatically scale the number of nodes used to serve the model in\nresponse to increases and decreases in traffic. Care should be\ntaken to ramp up traffic according to the model's ability to scale\nor you will start seeing increases in latency and 429 response codes."
- },
"isDefault": {
"description": "Output only. If true, this version will be used to handle prediction\nrequests that do not specify a version.\n\nYou can change the default version by calling\n[projects.methods.versions.setDefault](/ml-engine/reference/rest/v1/projects.models.versions/setDefault).",
"type": "boolean"
},
+ "autoScaling": {
+ "$ref": "GoogleCloudMlV1__AutoScaling",
+ "description": "Automatically scale the number of nodes used to serve the model in\nresponse to increases and decreases in traffic. Care should be\ntaken to ramp up traffic according to the model's ability to scale\nor you will start seeing increases in latency and 429 response codes."
+ },
"createTime": {
"description": "Output only. The time the version was created.",
"format": "google-datetime",
"type": "string"
- },
- "state": {
- "description": "Output only. The state of a version.",
- "enum": [
- "UNKNOWN",
- "READY",
- "CREATING",
- "FAILED"
- ],
- "enumDescriptions": [
- "The version state is unspecified.",
- "The version is ready for prediction.",
- "The version is still in the process of creation.",
- "The version failed to be created, possibly cancelled.\n`error_message` should contain the details of the failure."
- ],
- "type": "string"
- },
- "manualScaling": {
- "$ref": "GoogleCloudMlV1__ManualScaling",
- "description": "Manually select the number of nodes to use for serving the\nmodel. You should generally use `auto_scaling` with an appropriate\n`min_nodes` instead, but this option is available if you want more\npredictable billing. Beware that latency and error rates will increase\nif the traffic exceeds that capability of the system to serve it based\non the selected number of nodes."
}
},
"type": "object"
@@ -2059,16 +2167,16 @@
],
"type": "string"
},
+ "parameterName": {
+ "description": "Required. The parameter name must be unique amongst all ParameterConfigs in\na HyperparameterSpec message. E.g., \"learning_rate\".",
+ "type": "string"
+ },
"categoricalValues": {
"description": "Required if type is `CATEGORICAL`. The list of possible categories.",
"items": {
"type": "string"
},
"type": "array"
- },
- "parameterName": {
- "description": "Required. The parameter name must be unique amongst all ParameterConfigs in\na HyperparameterSpec message. E.g., \"learning_rate\".",
- "type": "string"
}
},
"type": "object"
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