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{"openapi":"3.0.0","info":{"contact":{"name":"Google","url":"https://google.com"},"description":"An API to enable creating and using machine learning models.","title":"Google Cloud Machine Learning Engine","version":"v1","x-apiClientRegistration":{"url":"https://console.developers.google.com"},"x-apisguru-categories":["machine_learning"],"x-logo":{"url":"https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png"},"x-origin":[{"converter":{"url":"https://github.com/lucybot/api-spec-converter","version":"2.6.0"},"format":"google","url":"https://ml.googleapis.com/$discovery/rest?version=v1","version":"v1"}],"x-preferred":true,"x-providerName":"googleapis.com","x-serviceName":"ml"},"externalDocs":{"url":"https://cloud.google.com/ml/"},"tags":[{"name":"projects"}],"paths":{"/v1/{name}":{"delete":{"description":"Deletes a model version.\n\nEach model can have multiple versions deployed and in use at any given\ntime. Use this method to remove a single version.\n\nNote: You cannot delete the version that is set as the default version\nof the model unless it is the only remaining version.","operationId":"ml.projects.models.versions.delete","parameters":[{"description":"Required. The name of the version. You can get the names of all the\nversions of a model by calling\n[projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list).","in":"path","name":"name","required":true,"x-reservedExpansion":true,"schema":{"type":"string"}}],"responses":{"200":{"description":"Successful response","content":{"*/*":{"schema":{"$ref":"#/components/schemas/GoogleLongrunning__Operation"}}}}},"security":[{"Oauth2":["https://www.googleapis.com/auth/cloud-platform"]}],"tags":["projects"]},"get":{"description":"Describes a job.","operationId":"ml.projects.jobs.get","parameters":[{"description":"Required. The name of the job to get the description of.","in":"path","name":"name","required":true,"x-reservedExpansion":true,"schema":{"type":"string"}}],"responses":{"200":{"description":"Successful response","content":{"*/*":{"schema":{"$ref":"#/components/schemas/GoogleCloudMlV1__Job"}}}}},"security":[{"Oauth2":["https://www.googleapis.com/auth/cloud-platform"]}],"tags":["projects"]},"parameters":[{"$ref":"#/components/parameters/_.xgafv"},{"$ref":"#/components/parameters/access_token"},{"$ref":"#/components/parameters/alt"},{"$ref":"#/components/parameters/bearer_token"},{"$ref":"#/components/parameters/callback"},{"$ref":"#/components/parameters/fields"},{"$ref":"#/components/parameters/key"},{"$ref":"#/components/parameters/oauth_token"},{"$ref":"#/components/parameters/pp"},{"$ref":"#/components/parameters/prettyPrint"},{"$ref":"#/components/parameters/quotaUser"},{"$ref":"#/components/parameters/uploadType"},{"$ref":"#/components/parameters/upload_protocol"}],"patch":{"description":"Updates a specific job resource.\n\nCurrently the only supported fields to update are `labels`.","operationId":"ml.projects.jobs.patch","parameters":[{"description":"Required. The job name.","in":"path","name":"name","required":true,"x-reservedExpansion":true,"schema":{"type":"string"}},{"description":"Required. Specifies the path, relative to `Job`, of the field to update.\nTo adopt etag mechanism, include `etag` field in the mask, and include the\n`etag` value in your job resource.\n\nFor example, to change the labels of a job, the `update_mask` parameter\nwould be specified as `labels`, `etag`, and the\n`PATCH` request body would specify the new value, as follows:\n {\n \"labels\": {\n \"owner\": \"Google\",\n \"color\": \"Blue\"\n }\n \"etag\": \"33a64df551425fcc55e4d42a148795d9f25f89d4\"\n }\nIf `etag` matches the one on the server, the labels of the job will be\nreplaced with the given ones, and the server end `etag` will be\nrecalculated.\n\nCurrently the only supported update masks are `labels` and `etag`.","in":"query","name":"updateMask","schema":{"type":"string"}}],"requestBody":{"$ref":"#/components/requestBodies/GoogleCloudMlV1__Job"},"responses":{"200":{"description":"Successful response","content":{"*/*":{"schema":{"$ref":"#/components/schemas/GoogleCloudMlV1__Job"}}}}},"security":[{"Oauth2":["https://www.googleapis.com/auth/cloud-platform"]}],"tags":["projects"]}},"/v1/{name}/operations":{"get":{"description":"Lists operations that match the specified filter in the request. If the\nserver doesn't support this method, it returns `UNIMPLEMENTED`.\n\nNOTE: the `name` binding allows API services to override the binding\nto use different resource name schemes, such as `users/*/operations`. To\noverride the binding, API services can add a binding such as\n`\"/v1/{name=users/*}/operations\"` to their service configuration.\nFor backwards compatibility, the default name includes the operations\ncollection id, however overriding users must ensure the name binding\nis the parent resource, without the operations collection id.","operationId":"ml.projects.operations.list","parameters":[{"description":"The standard list filter.","in":"query","name":"filter","schema":{"type":"string"}},{"description":"The name of the operation's parent resource.","in":"path","name":"name","required":true,"x-reservedExpansion":true,"schema":{"type":"string"}},{"description":"The standard list page size.","in":"query","name":"pageSize","schema":{"type":"integer"}},{"description":"The standard list page token.","in":"query","name":"pageToken","schema":{"type":"string"}}],"responses":{"200":{"description":"Successful response","content":{"*/*":{"schema":{"$ref":"#/components/schemas/GoogleLongrunning__ListOperationsResponse"}}}}},"security":[{"Oauth2":["https://www.googleapis.com/auth/cloud-platform"]}],"tags":["projects"]},"parameters":[{"$ref":"#/components/parameters/_.xgafv"},{"$ref":"#/components/parameters/access_token"},{"$ref":"#/components/parameters/alt"},{"$ref":"#/components/parameters/bearer_token"},{"$ref":"#/components/parameters/callback"},{"$ref":"#/components/parameters/fields"},{"$ref":"#/components/parameters/key"},{"$ref":"#/components/parameters/oauth_token"},{"$ref":"#/components/parameters/pp"},{"$ref":"#/components/parameters/prettyPrint"},{"$ref":"#/components/parameters/quotaUser"},{"$ref":"#/components/parameters/uploadType"},{"$ref":"#/components/parameters/upload_protocol"}]},"/v1/{name}:cancel":{"parameters":[{"$ref":"#/components/parameters/_.xgafv"},{"$ref":"#/components/parameters/access_token"},{"$ref":"#/components/parameters/alt"},{"$ref":"#/components/parameters/bearer_token"},{"$ref":"#/components/parameters/callback"},{"$ref":"#/components/parameters/fields"},{"$ref":"#/components/parameters/key"},{"$ref":"#/components/parameters/oauth_token"},{"$ref":"#/components/parameters/pp"},{"$ref":"#/components/parameters/prettyPrint"},{"$ref":"#/components/parameters/quotaUser"},{"$ref":"#/components/parameters/uploadType"},{"$ref":"#/components/parameters/upload_protocol"}],"post":{"description":"Cancels a running job.","operationId":"ml.projects.jobs.cancel","parameters":[{"description":"Required. The name of the job to cancel.","in":"path","name":"name","required":true,"x-reservedExpansion":true,"schema":{"type":"string"}}],"requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/GoogleCloudMlV1__CancelJobRequest"}}}},"responses":{"200":{"description":"Successful response","content":{"*/*":{"schema":{"$ref":"#/components/schemas/GoogleProtobuf__Empty"}}}}},"security":[{"Oauth2":["https://www.googleapis.com/auth/cloud-platform"]}],"tags":["projects"]}},"/v1/{name}:getConfig":{"get":{"description":"Get the service account information associated with your project. You need\nthis information in order to grant the service account persmissions for\nthe Google Cloud Storage location where you put your model training code\nfor training the model with Google Cloud Machine Learning.","operationId":"ml.projects.getConfig","parameters":[{"description":"Required. The project name.","in":"path","name":"name","required":true,"x-reservedExpansion":true,"schema":{"type":"string"}}],"responses":{"200":{"description":"Successful response","content":{"*/*":{"schema":{"$ref":"#/components/schemas/GoogleCloudMlV1__GetConfigResponse"}}}}},"security":[{"Oauth2":["https://www.googleapis.com/auth/cloud-platform"]}],"tags":["projects"]},"parameters":[{"$ref":"#/components/parameters/_.xgafv"},{"$ref":"#/components/parameters/access_token"},{"$ref":"#/components/parameters/alt"},{"$ref":"#/components/parameters/bearer_token"},{"$ref":"#/components/parameters/callback"},{"$ref":"#/components/parameters/fields"},{"$ref":"#/components/parameters/key"},{"$ref":"#/components/parameters/oauth_token"},{"$ref":"#/components/parameters/pp"},{"$ref":"#/components/parameters/prettyPrint"},{"$ref":"#/components/parameters/quotaUser"},{"$ref":"#/components/parameters/uploadType"},{"$ref":"#/components/parameters/upload_protocol"}]},"/v1/{name}:predict":{"parameters":[{"$ref":"#/components/parameters/_.xgafv"},{"$ref":"#/components/parameters/access_token"},{"$ref":"#/components/parameters/alt"},{"$ref":"#/components/parameters/bearer_token"},{"$ref":"#/components/parameters/callback"},{"$ref":"#/components/parameters/fields"},{"$ref":"#/components/parameters/key"},{"$ref":"#/components/parameters/oauth_token"},{"$ref":"#/components/parameters/pp"},{"$ref":"#/components/parameters/prettyPrint"},{"$ref":"#/components/parameters/quotaUser"},{"$ref":"#/components/parameters/uploadType"},{"$ref":"#/components/parameters/upload_protocol"}],"post":{"description":"Performs prediction on the data in the request.\nCloud ML Engine implements a custom `predict` verb on top of an HTTP POST\nmethod. For details of the format, see the **guide to the\n[predict request format](/ml-engine/docs/v1/predict-request)**.","operationId":"ml.projects.predict","parameters":[{"description":"Required. The resource name of a model or a version.\n\nAuthorization: requires the `predict` permission on the specified resource.","in":"path","name":"name","required":true,"x-reservedExpansion":true,"schema":{"type":"string"}}],"requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/GoogleCloudMlV1__PredictRequest"}}}},"responses":{"200":{"description":"Successful response","content":{"*/*":{"schema":{"$ref":"#/components/schemas/GoogleApi__HttpBody"}}}}},"security":[{"Oauth2":["https://www.googleapis.com/auth/cloud-platform"]}],"tags":["projects"]}},"/v1/{name}:setDefault":{"parameters":[{"$ref":"#/components/parameters/_.xgafv"},{"$ref":"#/components/parameters/access_token"},{"$ref":"#/components/parameters/alt"},{"$ref":"#/components/parameters/bearer_token"},{"$ref":"#/components/parameters/callback"},{"$ref":"#/components/parameters/fields"},{"$ref":"#/components/parameters/key"},{"$ref":"#/components/parameters/oauth_token"},{"$ref":"#/components/parameters/pp"},{"$ref":"#/components/parameters/prettyPrint"},{"$ref":"#/components/parameters/quotaUser"},{"$ref":"#/components/parameters/uploadType"},{"$ref":"#/components/parameters/upload_protocol"}],"post":{"description":"Designates a version to be the default for the model.\n\nThe default version is used for prediction requests made against the model\nthat don't specify a version.\n\nThe first version to be created for a model is automatically set as the\ndefault. You must make any subsequent changes to the default version\nsetting manually using this method.","operationId":"ml.projects.models.versions.setDefault","parameters":[{"description":"Required. The name of the version to make the default for the model. You\ncan get the names of all the versions of a model by calling\n[projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list).","in":"path","name":"name","required":true,"x-reservedExpansion":true,"schema":{"type":"string"}}],"requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/GoogleCloudMlV1__SetDefaultVersionRequest"}}}},"responses":{"200":{"description":"Successful response","content":{"*/*":{"schema":{"$ref":"#/components/schemas/GoogleCloudMlV1__Version"}}}}},"security":[{"Oauth2":["https://www.googleapis.com/auth/cloud-platform"]}],"tags":["projects"]}},"/v1/{parent}/jobs":{"get":{"description":"Lists the jobs in the project.","operationId":"ml.projects.jobs.list","parameters":[{"description":"Optional. Specifies the subset of jobs to retrieve.","in":"query","name":"filter","schema":{"type":"string"}},{"description":"Optional. The number of jobs to retrieve per \"page\" of results. If there\nare more remaining results than this number, the response message will\ncontain a valid value in the `next_page_token` field.\n\nThe default value is 20, and the maximum page size is 100.","in":"query","name":"pageSize","schema":{"type":"integer"}},{"description":"Optional. A page token to request the next page of results.\n\nYou get the token from the `next_page_token` field of the response from\nthe previous call.","in":"query","name":"pageToken","schema":{"type":"string"}},{"description":"Required. The name of the project for which to list jobs.","in":"path","name":"parent","required":true,"x-reservedExpansion":true,"schema":{"type":"string"}}],"responses":{"200":{"description":"Successful response","content":{"*/*":{"schema":{"$ref":"#/components/schemas/GoogleCloudMlV1__ListJobsResponse"}}}}},"security":[{"Oauth2":["https://www.googleapis.com/auth/cloud-platform"]}],"tags":["projects"]},"parameters":[{"$ref":"#/components/parameters/_.xgafv"},{"$ref":"#/components/parameters/access_token"},{"$ref":"#/components/parameters/alt"},{"$ref":"#/components/parameters/bearer_token"},{"$ref":"#/components/parameters/callback"},{"$ref":"#/components/parameters/fields"},{"$ref":"#/components/parameters/key"},{"$ref":"#/components/parameters/oauth_token"},{"$ref":"#/components/parameters/pp"},{"$ref":"#/components/parameters/prettyPrint"},{"$ref":"#/components/parameters/quotaUser"},{"$ref":"#/components/parameters/uploadType"},{"$ref":"#/components/parameters/upload_protocol"}],"post":{"description":"Creates a training or a batch prediction job.","operationId":"ml.projects.jobs.create","parameters":[{"description":"Required. The project name.","in":"path","name":"parent","required":true,"x-reservedExpansion":true,"schema":{"type":"string"}}],"requestBody":{"$ref":"#/components/requestBodies/GoogleCloudMlV1__Job"},"responses":{"200":{"description":"Successful response","content":{"*/*":{"schema":{"$ref":"#/components/schemas/GoogleCloudMlV1__Job"}}}}},"security":[{"Oauth2":["https://www.googleapis.com/auth/cloud-platform"]}],"tags":["projects"]}},"/v1/{parent}/locations":{"get":{"description":"List all locations that provides at least one type of CMLE capability.","operationId":"ml.projects.locations.list","parameters":[{"description":"Optional. The number of locations to retrieve per \"page\" of results. If there\nare more remaining results than this number, the response message will\ncontain a valid value in the `next_page_token` field.\n\nThe default value is 20, and the maximum page size is 100.","in":"query","name":"pageSize","schema":{"type":"integer"}},{"description":"Optional. A page token to request the next page of results.\n\nYou get the token from the `next_page_token` field of the response from\nthe previous call.","in":"query","name":"pageToken","schema":{"type":"string"}},{"description":"Required. The name of the project for which available locations are to be\nlisted (since some locations might be whitelisted for specific projects).","in":"path","name":"parent","required":true,"x-reservedExpansion":true,"schema":{"type":"string"}}],"responses":{"200":{"description":"Successful response","content":{"*/*":{"schema":{"$ref":"#/components/schemas/GoogleCloudMlV1__ListLocationsResponse"}}}}},"security":[{"Oauth2":["https://www.googleapis.com/auth/cloud-platform"]}],"tags":["projects"]},"parameters":[{"$ref":"#/components/parameters/_.xgafv"},{"$ref":"#/components/parameters/access_token"},{"$ref":"#/components/parameters/alt"},{"$ref":"#/components/parameters/bearer_token"},{"$ref":"#/components/parameters/callback"},{"$ref":"#/components/parameters/fields"},{"$ref":"#/components/parameters/key"},{"$ref":"#/components/parameters/oauth_token"},{"$ref":"#/components/parameters/pp"},{"$ref":"#/components/parameters/prettyPrint"},{"$ref":"#/components/parameters/quotaUser"},{"$ref":"#/components/parameters/uploadType"},{"$ref":"#/components/parameters/upload_protocol"}]},"/v1/{parent}/models":{"get":{"description":"Lists the models in a project.\n\nEach project can contain multiple models, and each model can have multiple\nversions.","operationId":"ml.projects.models.list","parameters":[{"description":"Optional. Specifies the subset of models to retrieve.","in":"query","name":"filter","schema":{"type":"string"}},{"description":"Optional. The number of models to retrieve per \"page\" of results. If there\nare more remaining results than this number, the response message will\ncontain a valid value in the `next_page_token` field.\n\nThe default value is 20, and the maximum page size is 100.","in":"query","name":"pageSize","schema":{"type":"integer"}},{"description":"Optional. A page token to request the next page of results.\n\nYou get the token from the `next_page_token` field of the response from\nthe previous call.","in":"query","name":"pageToken","schema":{"type":"string"}},{"description":"Required. The name of the project whose models are to be listed.","in":"path","name":"parent","required":true,"x-reservedExpansion":true,"schema":{"type":"string"}}],"responses":{"200":{"description":"Successful response","content":{"*/*":{"schema":{"$ref":"#/components/schemas/GoogleCloudMlV1__ListModelsResponse"}}}}},"security":[{"Oauth2":["https://www.googleapis.com/auth/cloud-platform"]}],"tags":["projects"]},"parameters":[{"$ref":"#/components/parameters/_.xgafv"},{"$ref":"#/components/parameters/access_token"},{"$ref":"#/components/parameters/alt"},{"$ref":"#/components/parameters/bearer_token"},{"$ref":"#/components/parameters/callback"},{"$ref":"#/components/parameters/fields"},{"$ref":"#/components/parameters/key"},{"$ref":"#/components/parameters/oauth_token"},{"$ref":"#/components/parameters/pp"},{"$ref":"#/components/parameters/prettyPrint"},{"$ref":"#/components/parameters/quotaUser"},{"$ref":"#/components/parameters/uploadType"},{"$ref":"#/components/parameters/upload_protocol"}],"post":{"description":"Creates a model which will later contain one or more versions.\n\nYou must add at least one version before you can request predictions from\nthe model. Add versions by calling\n[projects.models.versions.create](/ml-engine/reference/rest/v1/projects.models.versions/create).","operationId":"ml.projects.models.create","parameters":[{"description":"Required. The project name.","in":"path","name":"parent","required":true,"x-reservedExpansion":true,"schema":{"type":"string"}}],"requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/GoogleCloudMlV1__Model"}}}},"responses":{"200":{"description":"Successful response","content":{"*/*":{"schema":{"$ref":"#/components/schemas/GoogleCloudMlV1__Model"}}}}},"security":[{"Oauth2":["https://www.googleapis.com/auth/cloud-platform"]}],"tags":["projects"]}},"/v1/{parent}/versions":{"get":{"description":"Gets basic information about all the versions of a model.\n\nIf you expect that a model has a lot of versions, or if you need to handle\nonly a limited number of results at a time, you can request that the list\nbe retrieved in batches (called pages):","operationId":"ml.projects.models.versions.list","parameters":[{"description":"Optional. Specifies the subset of versions to retrieve.","in":"query","name":"filter","schema":{"type":"string"}},{"description":"Optional. The number of versions to retrieve per \"page\" of results. If\nthere are more remaining results than this number, the response message\nwill contain a valid value in the `next_page_token` field.\n\nThe default value is 20, and the maximum page size is 100.","in":"query","name":"pageSize","schema":{"type":"integer"}},{"description":"Optional. A page token to request the next page of results.\n\nYou get the token from the `next_page_token` field of the response from\nthe previous call.","in":"query","name":"pageToken","schema":{"type":"string"}},{"description":"Required. The name of the model for which to list the version.","in":"path","name":"parent","required":true,"x-reservedExpansion":true,"schema":{"type":"string"}}],"responses":{"200":{"description":"Successful response","content":{"*/*":{"schema":{"$ref":"#/components/schemas/GoogleCloudMlV1__ListVersionsResponse"}}}}},"security":[{"Oauth2":["https://www.googleapis.com/auth/cloud-platform"]}],"tags":["projects"]},"parameters":[{"$ref":"#/components/parameters/_.xgafv"},{"$ref":"#/components/parameters/access_token"},{"$ref":"#/components/parameters/alt"},{"$ref":"#/components/parameters/bearer_token"},{"$ref":"#/components/parameters/callback"},{"$ref":"#/components/parameters/fields"},{"$ref":"#/components/parameters/key"},{"$ref":"#/components/parameters/oauth_token"},{"$ref":"#/components/parameters/pp"},{"$ref":"#/components/parameters/prettyPrint"},{"$ref":"#/components/parameters/quotaUser"},{"$ref":"#/components/parameters/uploadType"},{"$ref":"#/components/parameters/upload_protocol"}],"post":{"description":"Creates a new version of a model from a trained TensorFlow model.\n\nIf the version created in the cloud by this call is the first deployed\nversion of the specified model, it will be made the default version of the\nmodel. When you add a version to a model that already has one or more\nversions, the default version does not automatically change. If you want a\nnew version to be the default, you must call\n[projects.models.versions.setDefault](/ml-engine/reference/rest/v1/projects.models.versions/setDefault).","operationId":"ml.projects.models.versions.create","parameters":[{"description":"Required. The name of the model.","in":"path","name":"parent","required":true,"x-reservedExpansion":true,"schema":{"type":"string"}}],"requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/GoogleCloudMlV1__Version"}}}},"responses":{"200":{"description":"Successful response","content":{"*/*":{"schema":{"$ref":"#/components/schemas/GoogleLongrunning__Operation"}}}}},"security":[{"Oauth2":["https://www.googleapis.com/auth/cloud-platform"]}],"tags":["projects"]}},"/v1/{resource}:getIamPolicy":{"get":{"description":"Gets the access control policy for a resource.\nReturns an empty policy if the resource exists and does not have a policy\nset.","operationId":"ml.projects.jobs.getIamPolicy","parameters":[{"description":"REQUIRED: The resource for which the policy is being requested.\nSee the operation documentation for the appropriate value for this field.","in":"path","name":"resource","required":true,"x-reservedExpansion":true,"schema":{"type":"string"}}],"responses":{"200":{"description":"Successful response","content":{"*/*":{"schema":{"$ref":"#/components/schemas/GoogleIamV1__Policy"}}}}},"security":[{"Oauth2":["https://www.googleapis.com/auth/cloud-platform"]}],"tags":["projects"]},"parameters":[{"$ref":"#/components/parameters/_.xgafv"},{"$ref":"#/components/parameters/access_token"},{"$ref":"#/components/parameters/alt"},{"$ref":"#/components/parameters/bearer_token"},{"$ref":"#/components/parameters/callback"},{"$ref":"#/components/parameters/fields"},{"$ref":"#/components/parameters/key"},{"$ref":"#/components/parameters/oauth_token"},{"$ref":"#/components/parameters/pp"},{"$ref":"#/components/parameters/prettyPrint"},{"$ref":"#/components/parameters/quotaUser"},{"$ref":"#/components/parameters/uploadType"},{"$ref":"#/components/parameters/upload_protocol"}]},"/v1/{resource}:setIamPolicy":{"parameters":[{"$ref":"#/components/parameters/_.xgafv"},{"$ref":"#/components/parameters/access_token"},{"$ref":"#/components/parameters/alt"},{"$ref":"#/components/parameters/bearer_token"},{"$ref":"#/components/parameters/callback"},{"$ref":"#/components/parameters/fields"},{"$ref":"#/components/parameters/key"},{"$ref":"#/components/parameters/oauth_token"},{"$ref":"#/components/parameters/pp"},{"$ref":"#/components/parameters/prettyPrint"},{"$ref":"#/components/parameters/quotaUser"},{"$ref":"#/components/parameters/uploadType"},{"$ref":"#/components/parameters/upload_protocol"}],"post":{"description":"Sets the access control policy on the specified resource. Replaces any\nexisting policy.","operationId":"ml.projects.jobs.setIamPolicy","parameters":[{"description":"REQUIRED: The resource for which the policy is being specified.\nSee the operation documentation for the appropriate value for this field.","in":"path","name":"resource","required":true,"x-reservedExpansion":true,"schema":{"type":"string"}}],"requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/GoogleIamV1__SetIamPolicyRequest"}}}},"responses":{"200":{"description":"Successful response","content":{"*/*":{"schema":{"$ref":"#/components/schemas/GoogleIamV1__Policy"}}}}},"security":[{"Oauth2":["https://www.googleapis.com/auth/cloud-platform"]}],"tags":["projects"]}},"/v1/{resource}:testIamPermissions":{"parameters":[{"$ref":"#/components/parameters/_.xgafv"},{"$ref":"#/components/parameters/access_token"},{"$ref":"#/components/parameters/alt"},{"$ref":"#/components/parameters/bearer_token"},{"$ref":"#/components/parameters/callback"},{"$ref":"#/components/parameters/fields"},{"$ref":"#/components/parameters/key"},{"$ref":"#/components/parameters/oauth_token"},{"$ref":"#/components/parameters/pp"},{"$ref":"#/components/parameters/prettyPrint"},{"$ref":"#/components/parameters/quotaUser"},{"$ref":"#/components/parameters/uploadType"},{"$ref":"#/components/parameters/upload_protocol"}],"post":{"description":"Returns permissions that a caller has on the specified resource.\nIf the resource does not exist, this will return an empty set of\npermissions, not a NOT_FOUND error.\n\nNote: This operation is designed to be used for building permission-aware\nUIs and command-line tools, not for authorization checking. This operation\nmay \"fail open\" without warning.","operationId":"ml.projects.jobs.testIamPermissions","parameters":[{"description":"REQUIRED: The resource for which the policy detail is being requested.\nSee the operation documentation for the appropriate value for this field.","in":"path","name":"resource","required":true,"x-reservedExpansion":true,"schema":{"type":"string"}}],"requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/GoogleIamV1__TestIamPermissionsRequest"}}}},"responses":{"200":{"description":"Successful response","content":{"*/*":{"schema":{"$ref":"#/components/schemas/GoogleIamV1__TestIamPermissionsResponse"}}}}},"security":[{"Oauth2":["https://www.googleapis.com/auth/cloud-platform"]}],"tags":["projects"]}}},"servers":[{"url":"https://ml.googleapis.com/"}],"components":{"parameters":{"access_token":{"description":"OAuth access token.","in":"query","name":"access_token","schema":{"type":"string"}},"alt":{"description":"Data format for response.","in":"query","name":"alt","schema":{"type":"string","enum":["json","media","proto"],"default":"json"}},"bearer_token":{"description":"OAuth bearer token.","in":"query","name":"bearer_token","schema":{"type":"string"}},"callback":{"description":"JSONP","in":"query","name":"callback","schema":{"type":"string"}},"fields":{"description":"Selector specifying which fields to include in a partial response.","in":"query","name":"fields","schema":{"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.","in":"query","name":"key","schema":{"type":"string"}},"oauth_token":{"description":"OAuth 2.0 token for the current user.","in":"query","name":"oauth_token","schema":{"type":"string"}},"pp":{"description":"Pretty-print response.","in":"query","name":"pp","schema":{"type":"boolean","default":true}},"prettyPrint":{"description":"Returns response with indentations and line breaks.","in":"query","name":"prettyPrint","schema":{"type":"boolean","default":true}},"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.","in":"query","name":"quotaUser","schema":{"type":"string"}},"uploadType":{"description":"Legacy upload protocol for media (e.g. \"media\", \"multipart\").","in":"query","name":"uploadType","schema":{"type":"string"}},"upload_protocol":{"description":"Upload protocol for media (e.g. \"raw\", \"multipart\").","in":"query","name":"upload_protocol","schema":{"type":"string"}},"_.xgafv":{"description":"V1 error format.","in":"query","name":"$.xgafv","schema":{"type":"string","enum":["1","2"]}}},"requestBodies":{"GoogleCloudMlV1__Job":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/GoogleCloudMlV1__Job"}}}}},"securitySchemes":{"Oauth2":{"description":"Oauth 2.0 authentication","type":"oauth2","flows":{"implicit":{"authorizationUrl":"https://accounts.google.com/o/oauth2/auth","scopes":{"https://www.googleapis.com/auth/cloud-platform":"View and manage your data across Google Cloud Platform services"}}}}},"schemas":{"GoogleApi__HttpBody":{"description":"Message that represents an arbitrary HTTP body. It should only be used for\npayload formats that can't be represented as JSON, such as raw binary or\nan HTML page.\n\n\nThis message can be used both in streaming and non-streaming API methods in\nthe request as well as the response.\n\nIt can be used as a top-level request field, which is convenient if one\nwants to extract parameters from either the URL or HTTP template into the\nrequest fields and also want access to the raw HTTP body.\n\nExample:\n\n message GetResourceRequest {\n // A unique request id.\n string request_id = 1;\n\n // The raw HTTP body is bound to this field.\n google.api.HttpBody http_body = 2;\n }\n\n service ResourceService {\n rpc GetResource(GetResourceRequest) returns (google.api.HttpBody);\n rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty);\n }\n\nExample with streaming methods:\n\n service CaldavService {\n rpc GetCalendar(stream google.api.HttpBody)\n returns (stream google.api.HttpBody);\n rpc UpdateCalendar(stream google.api.HttpBody)\n returns (stream google.api.HttpBody);\n }\n\nUse of this type only changes how the request and response bodies are\nhandled, all other features will continue to work unchanged.","properties":{"contentType":{"description":"The HTTP Content-Type string representing the content type of the body.","type":"string"},"data":{"description":"HTTP body binary data.","format":"byte","type":"string"},"extensions":{"description":"Application specific response metadata. Must be set in the first response\nfor streaming APIs.","items":{"additionalProperties":{"description":"Properties of the object. Contains field @type with type URL."},"type":"object"},"type":"array"}},"type":"object"},"GoogleCloudMlV1_HyperparameterOutput_HyperparameterMetric":{"description":"An observed value of a metric.","properties":{"objectiveValue":{"description":"The objective value at this training step.","format":"double","type":"number"},"trainingStep":{"description":"The global training step for this metric.","format":"int64","type":"string"}},"type":"object"},"GoogleCloudMlV1__AutoScaling":{"description":"Options for automatically scaling a model.","properties":{"minNodes":{"description":"Optional. The minimum number of nodes to allocate for this model. These\nnodes are always up, starting from the time the model is deployed, so the\ncost of operating this model will be at least\n`rate` * `min_nodes` * number of hours since last billing cycle,\nwhere `rate` is the cost per node-hour as documented in\n[pricing](https://cloud.google.com/ml-engine/pricing#prediction_pricing),\neven if no predictions are performed. There is additional cost for each\nprediction performed.\n\nUnlike manual scaling, if the load gets too heavy for the nodes\nthat are up, the service will automatically add nodes to handle the\nincreased load as well as scale back as traffic drops, always maintaining\nat least `min_nodes`. You will be charged for the time in which additional\nnodes are used.\n\nIf not specified, `min_nodes` defaults to 0, in which case, when traffic\nto a model stops (and after a cool-down period), nodes will be shut down\nand no charges will be incurred until traffic to the model resumes.","format":"int32","type":"integer"}},"type":"object"},"GoogleCloudMlV1__CancelJobRequest":{"description":"Request message for the CancelJob method.","properties":{},"type":"object"},"GoogleCloudMlV1__Capability":{"properties":{"availableAccelerators":{"description":"Available accelerators for the capability.","items":{"enum":["ACCELERATOR_TYPE_UNSPECIFIED","NVIDIA_TESLA_K80","NVIDIA_TESLA_P100"],"type":"string"},"type":"array"},"type":{"enum":["TYPE_UNSPECIFIED","TRAINING","BATCH_PREDICTION","ONLINE_PREDICTION"],"type":"string"}},"type":"object"},"GoogleCloudMlV1__GetConfigResponse":{"description":"Returns service account information associated with a project.","properties":{"serviceAccount":{"description":"The service account Cloud ML uses to access resources in the project.","type":"string"},"serviceAccountProject":{"description":"The project number for `service_account`.","format":"int64","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.","properties":{"allMetrics":{"description":"All recorded object metrics for this trial. This field is not currently\npopulated.","items":{"$ref":"#/components/schemas/GoogleCloudMlV1_HyperparameterOutput_HyperparameterMetric"},"type":"array"},"finalMetric":{"$ref":"#/components/schemas/GoogleCloudMlV1_HyperparameterOutput_HyperparameterMetric"},"hyperparameters":{"additionalProperties":{"type":"string"},"description":"The hyperparameters given to this trial.","type":"object"},"trialId":{"description":"The trial id for these results.","type":"string"}},"type":"object"},"GoogleCloudMlV1__HyperparameterSpec":{"description":"Represents a set of hyperparameters to optimize.","properties":{"goal":{"description":"Required. The type of goal to use for tuning. Available types are\n`MAXIMIZE` and `MINIMIZE`.\n\nDefaults to `MAXIMIZE`.","enum":["GOAL_TYPE_UNSPECIFIED","MAXIMIZE","MINIMIZE"],"type":"string"},"hyperparameterMetricTag":{"description":"Optional. The Tensorflow summary tag name to use for optimizing trials. For\ncurrent versions of Tensorflow, this tag name should exactly match what is\nshown in Tensorboard, including all scopes. For versions of Tensorflow\nprior to 0.12, this should be only the tag passed to tf.Summary.\nBy default, \"training/hptuning/metric\" will be used.","type":"string"},"maxParallelTrials":{"description":"Optional. The number of training trials to run concurrently.\nYou can reduce the time it takes to perform hyperparameter tuning by adding\ntrials in parallel. However, each trail only benefits from the information\ngained in completed trials. That means that a trial does not get access to\nthe results of trials running at the same time, which could reduce the\nquality of the overall optimization.\n\nEach trial will use the same scale tier and machine types.\n\nDefaults to one.","format":"int32","type":"integer"},"maxTrials":{"description":"Optional. How many training trials should be attempted to optimize\nthe specified hyperparameters.\n\nDefaults to one.","format":"int32","type":"integer"},"params":{"description":"Required. The set of parameters to tune.","items":{"$ref":"#/components/schemas/GoogleCloudMlV1__ParameterSpec"},"type":"array"}},"type":"object"},"GoogleCloudMlV1__Job":{"description":"Represents a training or prediction job.","properties":{"createTime":{"description":"Output only. When the job was created.","format":"google-datetime","type":"string"},"endTime":{"description":"Output only. When the job processing was completed.","format":"google-datetime","type":"string"},"errorMessage":{"description":"Output only. The details of a failure or a cancellation.","type":"string"},"etag":{"description":"`etag` is used for optimistic concurrency control as a way to help\nprevent simultaneous updates of a job from overwriting each other.\nIt is strongly suggested that systems make use of the `etag` in the\nread-modify-write cycle to perform job updates in order to avoid race\nconditions: An `etag` is returned in the response to `GetJob`, and\nsystems are expected to put that etag in the request to `UpdateJob` to\nensure that their change will be applied to the same version of the job.","format":"byte","type":"string"},"jobId":{"description":"Required. The user-specified id of the job.","type":"string"},"labels":{"additionalProperties":{"type":"string"},"description":"Optional. One or more labels that you can add, to organize your jobs.\nEach label is a key-value pair, where both the key and the value are\narbitrary strings that you supply.\nFor more information, see the documentation on\n<a href=\"/ml-engine/docs/how-tos/resource-labels\">using labels</a>.","type":"object"},"predictionInput":{"$ref":"#/components/schemas/GoogleCloudMlV1__PredictionInput"},"predictionOutput":{"$ref":"#/components/schemas/GoogleCloudMlV1__PredictionOutput"},"startTime":{"description":"Output only. When the job processing was started.","format":"google-datetime","type":"string"},"state":{"description":"Output only. The detailed state of a job.","enum":["STATE_UNSPECIFIED","QUEUED","PREPARING","RUNNING","SUCCEEDED","FAILED","CANCELLING","CANCELLED"],"type":"string"},"trainingInput":{"$ref":"#/components/schemas/GoogleCloudMlV1__TrainingInput"},"trainingOutput":{"$ref":"#/components/schemas/GoogleCloudMlV1__TrainingOutput"}},"type":"object"},"GoogleCloudMlV1__ListJobsResponse":{"description":"Response message for the ListJobs method.","properties":{"jobs":{"description":"The list of jobs.","items":{"$ref":"#/components/schemas/GoogleCloudMlV1__Job"},"type":"array"},"nextPageToken":{"description":"Optional. Pass this token as the `page_token` field of the request for a\nsubsequent call.","type":"string"}},"type":"object"},"GoogleCloudMlV1__ListLocationsResponse":{"properties":{"locations":{"description":"Locations where at least one type of CMLE capability is available.","items":{"$ref":"#/components/schemas/GoogleCloudMlV1__Location"},"type":"array"},"nextPageToken":{"description":"Optional. Pass this token as the `page_token` field of the request for a\nsubsequent call.","type":"string"}},"type":"object"},"GoogleCloudMlV1__ListModelsResponse":{"description":"Response message for the ListModels method.","properties":{"models":{"description":"The list of models.","items":{"$ref":"#/components/schemas/GoogleCloudMlV1__Model"},"type":"array"},"nextPageToken":{"description":"Optional. Pass this token as the `page_token` field of the request for a\nsubsequent call.","type":"string"}},"type":"object"},"GoogleCloudMlV1__ListVersionsResponse":{"description":"Response message for the ListVersions method.","properties":{"nextPageToken":{"description":"Optional. Pass this token as the `page_token` field of the request for a\nsubsequent call.","type":"string"},"versions":{"description":"The list of versions.","items":{"$ref":"#/components/schemas/GoogleCloudMlV1__Version"},"type":"array"}},"type":"object"},"GoogleCloudMlV1__Location":{"properties":{"capabilities":{"description":"Capabilities available in the location.","items":{"$ref":"#/components/schemas/GoogleCloudMlV1__Capability"},"type":"array"},"name":{"type":"string"}},"type":"object"},"GoogleCloudMlV1__ManualScaling":{"description":"Options for manually scaling a model.","properties":{"nodes":{"description":"The number of nodes to allocate for this model. These nodes are always up,\nstarting from the time the model is deployed, so the cost of operating\nthis model will be proportional to `nodes` * number of hours since\nlast billing cycle plus the cost for each prediction performed.","format":"int32","type":"integer"}},"type":"object"},"GoogleCloudMlV1__Model":{"description":"Represents a machine learning solution.\n\nA model can have multiple versions, each of which is a deployed, trained\nmodel ready to receive prediction requests. The model itself is just a\ncontainer.","properties":{"defaultVersion":{"$ref":"#/components/schemas/GoogleCloudMlV1__Version"},"description":{"description":"Optional. The description specified for the model when it was created.","type":"string"},"etag":{"description":"`etag` is used for optimistic concurrency control as a way to help\nprevent simultaneous updates of a model from overwriting each other.\nIt is strongly suggested that systems make use of the `etag` in the\nread-modify-write cycle to perform model updates in order to avoid race\nconditions: An `etag` is returned in the response to `GetModel`, and\nsystems are expected to put that etag in the request to `UpdateModel` to\nensure that their change will be applied to the model as intended.","format":"byte","type":"string"},"labels":{"additionalProperties":{"type":"string"},"description":"Optional. One or more labels that you can add, to organize your models.\nEach label is a key-value pair, where both the key and the value are\narbitrary strings that you supply.\nFor more information, see the documentation on\n<a href=\"/ml-engine/docs/how-tos/resource-labels\">using labels</a>.","type":"object"},"name":{"description":"Required. The name specified for the model when it was created.\n\nThe model name must be unique within the project it is created in.","type":"string"},"onlinePredictionLogging":{"description":"Optional. If true, enables StackDriver Logging for online prediction.\nDefault is false.","type":"boolean"},"regions":{"description":"Optional. The list of regions where the model is going to be deployed.\nCurrently only one region per model is supported.\nDefaults to 'us-central1' if nothing is set.\nNote:\n* No matter where a model is deployed, it can always be accessed by\n users from anywhere, both for online and batch prediction.\n* The region for a batch prediction job is set by the region field when\n submitting the batch prediction job and does not take its value from\n this field.","items":{"type":"string"},"type":"array"}},"type":"object"},"GoogleCloudMlV1__OperationMetadata":{"description":"Represents the metadata of the long-running operation.","properties":{"createTime":{"description":"The time the operation was submitted.","format":"google-datetime","type":"string"},"endTime":{"description":"The time operation processing completed.","format":"google-datetime","type":"string"},"isCancellationRequested":{"description":"Indicates whether a request to cancel this operation has been made.","type":"boolean"},"labels":{"additionalProperties":{"type":"string"},"description":"The user labels, inherited from the model or the model version being\noperated on.","type":"object"},"modelName":{"description":"Contains the name of the model associated with the operation.","type":"string"},"operationType":{"description":"The operation type.","enum":["OPERATION_TYPE_UNSPECIFIED","CREATE_VERSION","DELETE_VERSION","DELETE_MODEL","UPDATE_MODEL","UPDATE_VERSION","UPDATE_CONFIG"],"type":"string"},"projectNumber":{"description":"Contains the project number associated with the operation.","format":"int64","type":"string"},"startTime":{"description":"The time operation processing started.","format":"google-datetime","type":"string"},"version":{"$ref":"#/components/schemas/GoogleCloudMlV1__Version"}},"type":"object"},"GoogleCloudMlV1__ParameterSpec":{"description":"Represents a single hyperparameter to optimize.","properties":{"categoricalValues":{"description":"Required if type is `CATEGORICAL`. The list of possible categories.","items":{"type":"string"},"type":"array"},"discreteValues":{"description":"Required if type is `DISCRETE`.\nA list of feasible points.\nThe list should be in strictly increasing order. For instance, this\nparameter might have possible settings of 1.5, 2.5, and 4.0. This list\nshould not contain more than 1,000 values.","items":{"format":"double","type":"number"},"type":"array"},"maxValue":{"description":"Required if typeis `DOUBLE` or `INTEGER`. This field\nshould be unset if type is `CATEGORICAL`. This value should be integers if\ntype is `INTEGER`.","format":"double","type":"number"},"minValue":{"description":"Required if type is `DOUBLE` or `INTEGER`. This field\nshould be unset if type is `CATEGORICAL`. This value should be integers if\ntype is INTEGER.","format":"double","type":"number"},"parameterName":{"description":"Required. The parameter name must be unique amongst all ParameterConfigs in\na HyperparameterSpec message. E.g., \"learning_rate\".","type":"string"},"scaleType":{"description":"Optional. How the parameter should be scaled to the hypercube.\nLeave unset for categorical parameters.\nSome kind of scaling is strongly recommended for real or integral\nparameters (e.g., `UNIT_LINEAR_SCALE`).","enum":["NONE","UNIT_LINEAR_SCALE","UNIT_LOG_SCALE","UNIT_REVERSE_LOG_SCALE"],"type":"string"},"type":{"description":"Required. The type of the parameter.","enum":["PARAMETER_TYPE_UNSPECIFIED","DOUBLE","INTEGER","CATEGORICAL","DISCRETE"],"type":"string"}},"type":"object"},"GoogleCloudMlV1__PredictRequest":{"description":"Request for predictions to be issued against a trained model.","properties":{"httpBody":{"$ref":"#/components/schemas/GoogleApi__HttpBody"}},"type":"object"},"GoogleCloudMlV1__PredictionInput":{"description":"Represents input parameters for a prediction job.","properties":{"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"},"dataFormat":{"description":"Required. The format of the input data files.","enum":["DATA_FORMAT_UNSPECIFIED","JSON","TEXT","TF_RECORD","TF_RECORD_GZIP"],"type":"string"},"inputPaths":{"description":"Required. The Google Cloud Storage location of the input data files.\nMay contain wildcards.","items":{"type":"string"},"type":"array"},"maxWorkerCount":{"description":"Optional. The maximum number of workers to be used for parallel processing.\nDefaults to 10 if not specified.","format":"int64","type":"string"},"modelName":{"description":"Use this field if you want to use the default version for the specified\nmodel. The string must use the following format:\n\n`\"projects/<var>[YOUR_PROJECT]</var>/models/<var>[YOUR_MODEL]</var>\"`","type":"string"},"outputPath":{"description":"Required. The output Google Cloud Storage location.","type":"string"},"region":{"description":"Required. The Google Compute Engine region to run the prediction job in.","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"},"signatureName":{"description":"Optional. The name of the signature defined in the SavedModel to use for\nthis job. Please refer to\n[SavedModel](https://tensorflow.github.io/serving/serving_basic.html)\nfor information about how to use signatures.\n\nDefaults to\n[DEFAULT_SERVING_SIGNATURE_DEF_KEY](https://www.tensorflow.org/api_docs/python/tf/saved_model/signature_constants)\n, which is \"serving_default\".","type":"string"},"uri":{"description":"Use this field if you want to specify a Google Cloud Storage path for\nthe model to use.","type":"string"},"versionName":{"description":"Use this field if you want to specify a version of the model to use. The\nstring is formatted the same way as `model_version`, with the addition\nof the version information:\n\n`\"projects/<var>[YOUR_PROJECT]</var>/models/<var>YOUR_MODEL/versions/<var>[YOUR_VERSION]</var>\"`","type":"string"}},"type":"object"},"GoogleCloudMlV1__PredictionOutput":{"description":"Represents results of a prediction job.","properties":{"errorCount":{"description":"The number of data instances which resulted in errors.","format":"int64","type":"string"},"nodeHours":{"description":"Node hours used by the batch prediction job.","format":"double","type":"number"},"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"},"GoogleCloudMlV1__SetDefaultVersionRequest":{"description":"Request message for the SetDefaultVersion request.","properties":{},"type":"object"},"GoogleCloudMlV1__TrainingInput":{"description":"Represents input parameters for a training job.","properties":{"args":{"description":"Optional. Command line arguments to pass to the program.","items":{"type":"string"},"type":"array"},"hyperparameters":{"$ref":"#/components/schemas/GoogleCloudMlV1__HyperparameterSpec"},"jobDir":{"description":"Optional. A Google Cloud Stora