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Unified Diff: generated/googleapis/lib/ml/v1.dart

Issue 2779563003: Api-roll 47: 2017-03-27 (Closed)
Patch Set: Created 3 years, 9 months ago
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Index: generated/googleapis/lib/ml/v1.dart
diff --git a/generated/googleapis_beta/lib/ml/v1beta1.dart b/generated/googleapis/lib/ml/v1.dart
similarity index 90%
rename from generated/googleapis_beta/lib/ml/v1beta1.dart
rename to generated/googleapis/lib/ml/v1.dart
index a9af6658515c41626c641ad6b1831bff2e87f5ca..08b8512cd3cc236d1fe993d3012b7e8011efc064 100644
--- a/generated/googleapis_beta/lib/ml/v1beta1.dart
+++ b/generated/googleapis/lib/ml/v1.dart
@@ -1,6 +1,6 @@
// This is a generated file (see the discoveryapis_generator project).
-library googleapis_beta.ml.v1beta1;
+library googleapis.ml.v1;
import 'dart:core' as core;
import 'dart:async' as async;
@@ -12,7 +12,7 @@ import 'package:http/http.dart' as http;
export 'package:_discoveryapis_commons/_discoveryapis_commons.dart' show
ApiRequestError, DetailedApiRequestError;
-const core.String USER_AGENT = 'dart-api-client ml/v1beta1';
+const core.String USER_AGENT = 'dart-api-client ml/v1';
/** An API to enable creating and using machine learning models. */
class MlApi {
@@ -52,7 +52,7 @@ class ProjectsResourceApi {
* Authorization: requires `Viewer` role on the specified project.
* Value must have pattern "^projects/[^/]+$".
*
- * Completes with a [GoogleCloudMlV1beta1GetConfigResponse].
+ * Completes with a [GoogleCloudMlV1GetConfigResponse].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
@@ -60,7 +60,7 @@ class ProjectsResourceApi {
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
- async.Future<GoogleCloudMlV1beta1GetConfigResponse> getConfig(core.String name) {
+ async.Future<GoogleCloudMlV1GetConfigResponse> getConfig(core.String name) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
@@ -72,7 +72,7 @@ class ProjectsResourceApi {
throw new core.ArgumentError("Parameter name is required.");
}
- _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name') + ':getConfig';
+ _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name') + ':getConfig';
var _response = _requester.request(_url,
"GET",
@@ -81,7 +81,7 @@ class ProjectsResourceApi {
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
- return _response.then((data) => new GoogleCloudMlV1beta1GetConfigResponse.fromJson(data));
+ return _response.then((data) => new GoogleCloudMlV1GetConfigResponse.fromJson(data));
}
/**
@@ -106,7 +106,7 @@ class ProjectsResourceApi {
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
- async.Future<GoogleApiHttpBody> predict(GoogleCloudMlV1beta1PredictRequest request, core.String name) {
+ async.Future<GoogleApiHttpBody> predict(GoogleCloudMlV1PredictRequest request, core.String name) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
@@ -121,7 +121,7 @@ class ProjectsResourceApi {
throw new core.ArgumentError("Parameter name is required.");
}
- _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name') + ':predict';
+ _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name') + ':predict';
var _response = _requester.request(_url,
"POST",
@@ -162,7 +162,7 @@ class ProjectsJobsResourceApi {
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
- async.Future<GoogleProtobufEmpty> cancel(GoogleCloudMlV1beta1CancelJobRequest request, core.String name) {
+ async.Future<GoogleProtobufEmpty> cancel(GoogleCloudMlV1CancelJobRequest request, core.String name) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
@@ -177,7 +177,7 @@ class ProjectsJobsResourceApi {
throw new core.ArgumentError("Parameter name is required.");
}
- _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name') + ':cancel';
+ _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name') + ':cancel';
var _response = _requester.request(_url,
"POST",
@@ -201,7 +201,7 @@ class ProjectsJobsResourceApi {
* Authorization: requires `Editor` role on the specified project.
* Value must have pattern "^projects/[^/]+$".
*
- * Completes with a [GoogleCloudMlV1beta1Job].
+ * Completes with a [GoogleCloudMlV1Job].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
@@ -209,7 +209,7 @@ class ProjectsJobsResourceApi {
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
- async.Future<GoogleCloudMlV1beta1Job> create(GoogleCloudMlV1beta1Job request, core.String parent) {
+ async.Future<GoogleCloudMlV1Job> create(GoogleCloudMlV1Job request, core.String parent) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
@@ -224,7 +224,7 @@ class ProjectsJobsResourceApi {
throw new core.ArgumentError("Parameter parent is required.");
}
- _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/jobs';
+ _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/jobs';
var _response = _requester.request(_url,
"POST",
@@ -233,7 +233,7 @@ class ProjectsJobsResourceApi {
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
- return _response.then((data) => new GoogleCloudMlV1beta1Job.fromJson(data));
+ return _response.then((data) => new GoogleCloudMlV1Job.fromJson(data));
}
/**
@@ -246,7 +246,7 @@ class ProjectsJobsResourceApi {
* Authorization: requires `Viewer` role on the parent project.
* Value must have pattern "^projects/[^/]+/jobs/[^/]+$".
*
- * Completes with a [GoogleCloudMlV1beta1Job].
+ * Completes with a [GoogleCloudMlV1Job].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
@@ -254,7 +254,7 @@ class ProjectsJobsResourceApi {
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
- async.Future<GoogleCloudMlV1beta1Job> get(core.String name) {
+ async.Future<GoogleCloudMlV1Job> get(core.String name) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
@@ -266,7 +266,7 @@ class ProjectsJobsResourceApi {
throw new core.ArgumentError("Parameter name is required.");
}
- _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name');
+ _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name');
var _response = _requester.request(_url,
"GET",
@@ -275,7 +275,7 @@ class ProjectsJobsResourceApi {
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
- return _response.then((data) => new GoogleCloudMlV1beta1Job.fromJson(data));
+ return _response.then((data) => new GoogleCloudMlV1Job.fromJson(data));
}
/**
@@ -288,6 +288,8 @@ class ProjectsJobsResourceApi {
* Authorization: requires `Viewer` role on the specified project.
* Value must have pattern "^projects/[^/]+$".
*
+ * [filter] - Optional. Specifies the subset of jobs to retrieve.
+ *
* [pageToken] - Optional. A page token to request the next page of results.
*
* You get the token from the `next_page_token` field of the response from
@@ -300,9 +302,7 @@ class ProjectsJobsResourceApi {
*
* The default value is 20, and the maximum page size is 100.
*
- * [filter] - Optional. Specifies the subset of jobs to retrieve.
- *
- * Completes with a [GoogleCloudMlV1beta1ListJobsResponse].
+ * Completes with a [GoogleCloudMlV1ListJobsResponse].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
@@ -310,7 +310,7 @@ class ProjectsJobsResourceApi {
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
- async.Future<GoogleCloudMlV1beta1ListJobsResponse> list(core.String parent, {core.String pageToken, core.int pageSize, core.String filter}) {
+ async.Future<GoogleCloudMlV1ListJobsResponse> list(core.String parent, {core.String filter, core.String pageToken, core.int pageSize}) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
@@ -321,17 +321,17 @@ class ProjectsJobsResourceApi {
if (parent == null) {
throw new core.ArgumentError("Parameter parent is required.");
}
+ if (filter != null) {
+ _queryParams["filter"] = [filter];
+ }
if (pageToken != null) {
_queryParams["pageToken"] = [pageToken];
}
if (pageSize != null) {
_queryParams["pageSize"] = ["${pageSize}"];
}
- if (filter != null) {
- _queryParams["filter"] = [filter];
- }
- _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/jobs';
+ _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/jobs';
var _response = _requester.request(_url,
"GET",
@@ -340,7 +340,7 @@ class ProjectsJobsResourceApi {
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
- return _response.then((data) => new GoogleCloudMlV1beta1ListJobsResponse.fromJson(data));
+ return _response.then((data) => new GoogleCloudMlV1ListJobsResponse.fromJson(data));
}
}
@@ -359,7 +359,7 @@ class ProjectsModelsResourceApi {
*
* You must add at least one version before you can request predictions from
* the model. Add versions by calling
- * [projects.models.versions.create](/ml/reference/rest/v1beta1/projects.models.versions/create).
+ * [projects.models.versions.create](/ml-engine/reference/rest/v1/projects.models.versions/create).
*
* [request] - The metadata request object.
*
@@ -370,7 +370,7 @@ class ProjectsModelsResourceApi {
* Authorization: requires `Editor` role on the specified project.
* Value must have pattern "^projects/[^/]+$".
*
- * Completes with a [GoogleCloudMlV1beta1Model].
+ * Completes with a [GoogleCloudMlV1Model].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
@@ -378,7 +378,7 @@ class ProjectsModelsResourceApi {
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
- async.Future<GoogleCloudMlV1beta1Model> create(GoogleCloudMlV1beta1Model request, core.String parent) {
+ async.Future<GoogleCloudMlV1Model> create(GoogleCloudMlV1Model request, core.String parent) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
@@ -393,7 +393,7 @@ class ProjectsModelsResourceApi {
throw new core.ArgumentError("Parameter parent is required.");
}
- _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/models';
+ _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/models';
var _response = _requester.request(_url,
"POST",
@@ -402,7 +402,7 @@ class ProjectsModelsResourceApi {
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
- return _response.then((data) => new GoogleCloudMlV1beta1Model.fromJson(data));
+ return _response.then((data) => new GoogleCloudMlV1Model.fromJson(data));
}
/**
@@ -410,7 +410,7 @@ class ProjectsModelsResourceApi {
*
* You can only delete a model if there are no versions in it. You can delete
* versions by calling
- * [projects.models.versions.delete](/ml/reference/rest/v1beta1/projects.models.versions/delete).
+ * [projects.models.versions.delete](/ml-engine/reference/rest/v1/projects.models.versions/delete).
*
* Request parameters:
*
@@ -439,7 +439,7 @@ class ProjectsModelsResourceApi {
throw new core.ArgumentError("Parameter name is required.");
}
- _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name');
+ _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name');
var _response = _requester.request(_url,
"DELETE",
@@ -463,7 +463,7 @@ class ProjectsModelsResourceApi {
* Authorization: requires `Viewer` role on the parent project.
* Value must have pattern "^projects/[^/]+/models/[^/]+$".
*
- * Completes with a [GoogleCloudMlV1beta1Model].
+ * Completes with a [GoogleCloudMlV1Model].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
@@ -471,7 +471,7 @@ class ProjectsModelsResourceApi {
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
- async.Future<GoogleCloudMlV1beta1Model> get(core.String name) {
+ async.Future<GoogleCloudMlV1Model> get(core.String name) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
@@ -483,7 +483,7 @@ class ProjectsModelsResourceApi {
throw new core.ArgumentError("Parameter name is required.");
}
- _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name');
+ _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name');
var _response = _requester.request(_url,
"GET",
@@ -492,7 +492,7 @@ class ProjectsModelsResourceApi {
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
- return _response.then((data) => new GoogleCloudMlV1beta1Model.fromJson(data));
+ return _response.then((data) => new GoogleCloudMlV1Model.fromJson(data));
}
/**
@@ -520,7 +520,7 @@ class ProjectsModelsResourceApi {
*
* The default value is 20, and the maximum page size is 100.
*
- * Completes with a [GoogleCloudMlV1beta1ListModelsResponse].
+ * Completes with a [GoogleCloudMlV1ListModelsResponse].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
@@ -528,7 +528,7 @@ class ProjectsModelsResourceApi {
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
- async.Future<GoogleCloudMlV1beta1ListModelsResponse> list(core.String parent, {core.String pageToken, core.int pageSize}) {
+ async.Future<GoogleCloudMlV1ListModelsResponse> list(core.String parent, {core.String pageToken, core.int pageSize}) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
@@ -546,7 +546,7 @@ class ProjectsModelsResourceApi {
_queryParams["pageSize"] = ["${pageSize}"];
}
- _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/models';
+ _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/models';
var _response = _requester.request(_url,
"GET",
@@ -555,7 +555,7 @@ class ProjectsModelsResourceApi {
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
- return _response.then((data) => new GoogleCloudMlV1beta1ListModelsResponse.fromJson(data));
+ return _response.then((data) => new GoogleCloudMlV1ListModelsResponse.fromJson(data));
}
}
@@ -575,7 +575,7 @@ class ProjectsModelsVersionsResourceApi {
* model. When you add a version to a model that already has one or more
* versions, the default version does not automatically change. If you want a
* new version to be the default, you must call
- * [projects.models.versions.setDefault](/ml/reference/rest/v1beta1/projects.models.versions/setDefault).
+ * [projects.models.versions.setDefault](/ml-engine/reference/rest/v1/projects.models.versions/setDefault).
*
* [request] - The metadata request object.
*
@@ -594,7 +594,7 @@ class ProjectsModelsVersionsResourceApi {
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
- async.Future<GoogleLongrunningOperation> create(GoogleCloudMlV1beta1Version request, core.String parent) {
+ async.Future<GoogleLongrunningOperation> create(GoogleCloudMlV1Version request, core.String parent) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
@@ -609,7 +609,7 @@ class ProjectsModelsVersionsResourceApi {
throw new core.ArgumentError("Parameter parent is required.");
}
- _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/versions';
+ _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/versions';
var _response = _requester.request(_url,
"POST",
@@ -635,7 +635,7 @@ class ProjectsModelsVersionsResourceApi {
* [name] - Required. The name of the version. You can get the names of all
* the
* versions of a model by calling
- * [projects.models.versions.list](/ml/reference/rest/v1beta1/projects.models.versions/list).
+ * [projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list).
*
* Authorization: requires `Editor` role on the parent project.
* Value must have pattern "^projects/[^/]+/models/[^/]+/versions/[^/]+$".
@@ -660,7 +660,7 @@ class ProjectsModelsVersionsResourceApi {
throw new core.ArgumentError("Parameter name is required.");
}
- _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name');
+ _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name');
var _response = _requester.request(_url,
"DELETE",
@@ -676,7 +676,7 @@ class ProjectsModelsVersionsResourceApi {
* Gets information about a model version.
*
* Models can have multiple versions. You can call
- * [projects.models.versions.list](/ml/reference/rest/v1beta1/projects.models.versions/list)
+ * [projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list)
* to get the same information that this method returns for all of the
* versions of a model.
*
@@ -687,7 +687,7 @@ class ProjectsModelsVersionsResourceApi {
* Authorization: requires `Viewer` role on the parent project.
* Value must have pattern "^projects/[^/]+/models/[^/]+/versions/[^/]+$".
*
- * Completes with a [GoogleCloudMlV1beta1Version].
+ * Completes with a [GoogleCloudMlV1Version].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
@@ -695,7 +695,7 @@ class ProjectsModelsVersionsResourceApi {
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
- async.Future<GoogleCloudMlV1beta1Version> get(core.String name) {
+ async.Future<GoogleCloudMlV1Version> get(core.String name) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
@@ -707,7 +707,7 @@ class ProjectsModelsVersionsResourceApi {
throw new core.ArgumentError("Parameter name is required.");
}
- _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name');
+ _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name');
var _response = _requester.request(_url,
"GET",
@@ -716,7 +716,7 @@ class ProjectsModelsVersionsResourceApi {
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
- return _response.then((data) => new GoogleCloudMlV1beta1Version.fromJson(data));
+ return _response.then((data) => new GoogleCloudMlV1Version.fromJson(data));
}
/**
@@ -745,7 +745,7 @@ class ProjectsModelsVersionsResourceApi {
*
* The default value is 20, and the maximum page size is 100.
*
- * Completes with a [GoogleCloudMlV1beta1ListVersionsResponse].
+ * Completes with a [GoogleCloudMlV1ListVersionsResponse].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
@@ -753,7 +753,7 @@ class ProjectsModelsVersionsResourceApi {
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
- async.Future<GoogleCloudMlV1beta1ListVersionsResponse> list(core.String parent, {core.String pageToken, core.int pageSize}) {
+ async.Future<GoogleCloudMlV1ListVersionsResponse> list(core.String parent, {core.String pageToken, core.int pageSize}) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
@@ -771,7 +771,7 @@ class ProjectsModelsVersionsResourceApi {
_queryParams["pageSize"] = ["${pageSize}"];
}
- _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/versions';
+ _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/versions';
var _response = _requester.request(_url,
"GET",
@@ -780,7 +780,7 @@ class ProjectsModelsVersionsResourceApi {
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
- return _response.then((data) => new GoogleCloudMlV1beta1ListVersionsResponse.fromJson(data));
+ return _response.then((data) => new GoogleCloudMlV1ListVersionsResponse.fromJson(data));
}
/**
@@ -800,12 +800,12 @@ class ProjectsModelsVersionsResourceApi {
* [name] - Required. The name of the version to make the default for the
* model. You
* can get the names of all the versions of a model by calling
- * [projects.models.versions.list](/ml/reference/rest/v1beta1/projects.models.versions/list).
+ * [projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list).
*
* Authorization: requires `Editor` role on the parent project.
* Value must have pattern "^projects/[^/]+/models/[^/]+/versions/[^/]+$".
*
- * Completes with a [GoogleCloudMlV1beta1Version].
+ * Completes with a [GoogleCloudMlV1Version].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
* error.
@@ -813,7 +813,7 @@ class ProjectsModelsVersionsResourceApi {
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
- async.Future<GoogleCloudMlV1beta1Version> setDefault(GoogleCloudMlV1beta1SetDefaultVersionRequest request, core.String name) {
+ async.Future<GoogleCloudMlV1Version> setDefault(GoogleCloudMlV1SetDefaultVersionRequest request, core.String name) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
@@ -828,7 +828,7 @@ class ProjectsModelsVersionsResourceApi {
throw new core.ArgumentError("Parameter name is required.");
}
- _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name') + ':setDefault';
+ _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name') + ':setDefault';
var _response = _requester.request(_url,
"POST",
@@ -837,7 +837,7 @@ class ProjectsModelsVersionsResourceApi {
uploadOptions: _uploadOptions,
uploadMedia: _uploadMedia,
downloadOptions: _downloadOptions);
- return _response.then((data) => new GoogleCloudMlV1beta1Version.fromJson(data));
+ return _response.then((data) => new GoogleCloudMlV1Version.fromJson(data));
}
}
@@ -886,7 +886,7 @@ class ProjectsOperationsResourceApi {
throw new core.ArgumentError("Parameter name is required.");
}
- _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name') + ':cancel';
+ _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name') + ':cancel';
var _response = _requester.request(_url,
"POST",
@@ -929,7 +929,7 @@ class ProjectsOperationsResourceApi {
throw new core.ArgumentError("Parameter name is required.");
}
- _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name');
+ _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name');
var _response = _requester.request(_url,
"DELETE",
@@ -971,7 +971,7 @@ class ProjectsOperationsResourceApi {
throw new core.ArgumentError("Parameter name is required.");
}
- _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name');
+ _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name');
var _response = _requester.request(_url,
"GET",
@@ -995,12 +995,12 @@ class ProjectsOperationsResourceApi {
* [name] - The name of the operation collection.
* Value must have pattern "^projects/[^/]+$".
*
+ * [filter] - The standard list filter.
+ *
* [pageToken] - The standard list page token.
*
* [pageSize] - The standard list page size.
*
- * [filter] - The standard list filter.
- *
* Completes with a [GoogleLongrunningListOperationsResponse].
*
* Completes with a [commons.ApiRequestError] if the API endpoint returned an
@@ -1009,7 +1009,7 @@ class ProjectsOperationsResourceApi {
* If the used [http.Client] completes with an error when making a REST call,
* this method will complete with the same error.
*/
- async.Future<GoogleLongrunningListOperationsResponse> list(core.String name, {core.String pageToken, core.int pageSize, core.String filter}) {
+ async.Future<GoogleLongrunningListOperationsResponse> list(core.String name, {core.String filter, core.String pageToken, core.int pageSize}) {
var _url = null;
var _queryParams = new core.Map();
var _uploadMedia = null;
@@ -1020,17 +1020,17 @@ class ProjectsOperationsResourceApi {
if (name == null) {
throw new core.ArgumentError("Parameter name is required.");
}
+ if (filter != null) {
+ _queryParams["filter"] = [filter];
+ }
if (pageToken != null) {
_queryParams["pageToken"] = [pageToken];
}
if (pageSize != null) {
_queryParams["pageSize"] = ["${pageSize}"];
}
- if (filter != null) {
- _queryParams["filter"] = [filter];
- }
- _url = 'v1beta1/' + commons.Escaper.ecapeVariableReserved('$name') + '/operations';
+ _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name') + '/operations';
var _response = _requester.request(_url,
"GET",
@@ -1124,238 +1124,16 @@ class GoogleApiHttpBody {
}
}
-/** Options for manually scaling a model. */
-class GoogleCloudMlV1ManualScaling {
- /**
- * The number of nodes to allocate for this model. These nodes are always up,
- * starting from the time the model is deployed, so the cost of operating
- * this model will be proportional to nodes * number of hours since
- * deployment.
- */
- core.int nodes;
-
- GoogleCloudMlV1ManualScaling();
-
- GoogleCloudMlV1ManualScaling.fromJson(core.Map _json) {
- if (_json.containsKey("nodes")) {
- nodes = _json["nodes"];
- }
- }
-
- core.Map toJson() {
- var _json = new core.Map();
- if (nodes != null) {
- _json["nodes"] = nodes;
- }
- return _json;
- }
-}
-
-/** Represents the metadata of the long-running operation. */
-class GoogleCloudMlV1OperationMetadata {
- /** The time the operation was submitted. */
- core.String createTime;
- /** The time operation processing completed. */
- core.String endTime;
- /** Indicates whether a request to cancel this operation has been made. */
- core.bool isCancellationRequested;
- /** Contains the name of the model associated with the operation. */
- core.String modelName;
- /**
- * The operation type.
- * Possible string values are:
- * - "OPERATION_TYPE_UNSPECIFIED" : Unspecified operation type.
- * - "CREATE_VERSION" : An operation to create a new version.
- * - "DELETE_VERSION" : An operation to delete an existing version.
- * - "DELETE_MODEL" : An operation to delete an existing model.
- */
- core.String operationType;
- /** The time operation processing started. */
- core.String startTime;
- /** Contains the version associated with the operation. */
- GoogleCloudMlV1Version version;
-
- GoogleCloudMlV1OperationMetadata();
-
- GoogleCloudMlV1OperationMetadata.fromJson(core.Map _json) {
- if (_json.containsKey("createTime")) {
- createTime = _json["createTime"];
- }
- if (_json.containsKey("endTime")) {
- endTime = _json["endTime"];
- }
- if (_json.containsKey("isCancellationRequested")) {
- isCancellationRequested = _json["isCancellationRequested"];
- }
- if (_json.containsKey("modelName")) {
- modelName = _json["modelName"];
- }
- if (_json.containsKey("operationType")) {
- operationType = _json["operationType"];
- }
- if (_json.containsKey("startTime")) {
- startTime = _json["startTime"];
- }
- if (_json.containsKey("version")) {
- version = new GoogleCloudMlV1Version.fromJson(_json["version"]);
- }
- }
-
- core.Map toJson() {
- var _json = new core.Map();
- if (createTime != null) {
- _json["createTime"] = createTime;
- }
- if (endTime != null) {
- _json["endTime"] = endTime;
- }
- if (isCancellationRequested != null) {
- _json["isCancellationRequested"] = isCancellationRequested;
- }
- if (modelName != null) {
- _json["modelName"] = modelName;
- }
- if (operationType != null) {
- _json["operationType"] = operationType;
- }
- if (startTime != null) {
- _json["startTime"] = startTime;
- }
- if (version != null) {
- _json["version"] = (version).toJson();
- }
- return _json;
- }
-}
-
-/**
- * Represents a version of the model.
- *
- * Each version is a trained model deployed in the cloud, ready to handle
- * prediction requests. A model can have multiple versions. You can get
- * information about all of the versions of a given model by calling
- * [projects.models.versions.list](/ml/reference/rest/v1/projects.models.versions/list).
- */
-class GoogleCloudMlV1Version {
- /** Output only. The time the version was created. */
- core.String createTime;
- /**
- * Required. The Google Cloud Storage location of the trained model used to
- * create the version. See the
- * [overview of model deployment](/ml/docs/concepts/deployment-overview) for
- * more informaiton.
- *
- * When passing Version to
- * [projects.models.versions.create](/ml/reference/rest/v1/projects.models.versions/create)
- * the model service uses the specified location as the source of the model.
- * Once deployed, the model version is hosted by the prediction service, so
- * this location is useful only as a historical record.
- */
- core.String deploymentUri;
- /**
- * Optional. The description specified for the version when it was created.
- */
- core.String description;
- /**
- * Output only. If true, this version will be used to handle prediction
- * requests that do not specify a version.
- *
- * You can change the default version by calling
- * [projects.methods.versions.setDefault](/ml/reference/rest/v1/projects.models.versions/setDefault).
- */
- core.bool isDefault;
- /** Output only. The time the version was last used for prediction. */
- core.String lastUseTime;
- /**
- * Optional. Manually select the number of nodes to use for serving the
- * model. If unset (i.e., by default), the number of nodes used to serve
- * the model automatically scales with traffic. However, care should be
- * taken to ramp up traffic according to the model's ability to scale. If
- * your model needs to handle bursts of traffic beyond it's ability to
- * scale, it is recommended you set this field appropriately.
- */
- GoogleCloudMlV1ManualScaling manualScaling;
- /**
- * Required.The name specified for the version when it was created.
- *
- * The version name must be unique within the model it is created in.
- */
- core.String name;
- /**
- * Optional. The Google Cloud ML runtime version to use for this deployment.
- * If not set, Google Cloud ML will choose a version.
- */
- core.String runtimeVersion;
-
- GoogleCloudMlV1Version();
-
- GoogleCloudMlV1Version.fromJson(core.Map _json) {
- if (_json.containsKey("createTime")) {
- createTime = _json["createTime"];
- }
- if (_json.containsKey("deploymentUri")) {
- deploymentUri = _json["deploymentUri"];
- }
- if (_json.containsKey("description")) {
- description = _json["description"];
- }
- if (_json.containsKey("isDefault")) {
- isDefault = _json["isDefault"];
- }
- if (_json.containsKey("lastUseTime")) {
- lastUseTime = _json["lastUseTime"];
- }
- if (_json.containsKey("manualScaling")) {
- manualScaling = new GoogleCloudMlV1ManualScaling.fromJson(_json["manualScaling"]);
- }
- if (_json.containsKey("name")) {
- name = _json["name"];
- }
- if (_json.containsKey("runtimeVersion")) {
- runtimeVersion = _json["runtimeVersion"];
- }
- }
-
- core.Map toJson() {
- var _json = new core.Map();
- if (createTime != null) {
- _json["createTime"] = createTime;
- }
- if (deploymentUri != null) {
- _json["deploymentUri"] = deploymentUri;
- }
- if (description != null) {
- _json["description"] = description;
- }
- if (isDefault != null) {
- _json["isDefault"] = isDefault;
- }
- if (lastUseTime != null) {
- _json["lastUseTime"] = lastUseTime;
- }
- if (manualScaling != null) {
- _json["manualScaling"] = (manualScaling).toJson();
- }
- if (name != null) {
- _json["name"] = name;
- }
- if (runtimeVersion != null) {
- _json["runtimeVersion"] = runtimeVersion;
- }
- return _json;
- }
-}
-
/** An observed value of a metric. */
-class GoogleCloudMlV1beta1HyperparameterOutputHyperparameterMetric {
+class GoogleCloudMlV1HyperparameterOutputHyperparameterMetric {
/** The objective value at this training step. */
core.double objectiveValue;
/** The global training step for this metric. */
core.String trainingStep;
- GoogleCloudMlV1beta1HyperparameterOutputHyperparameterMetric();
+ GoogleCloudMlV1HyperparameterOutputHyperparameterMetric();
- GoogleCloudMlV1beta1HyperparameterOutputHyperparameterMetric.fromJson(core.Map _json) {
+ GoogleCloudMlV1HyperparameterOutputHyperparameterMetric.fromJson(core.Map _json) {
if (_json.containsKey("objectiveValue")) {
objectiveValue = _json["objectiveValue"];
}
@@ -1377,11 +1155,11 @@ class GoogleCloudMlV1beta1HyperparameterOutputHyperparameterMetric {
}
/** Request message for the CancelJob method. */
-class GoogleCloudMlV1beta1CancelJobRequest {
+class GoogleCloudMlV1CancelJobRequest {
- GoogleCloudMlV1beta1CancelJobRequest();
+ GoogleCloudMlV1CancelJobRequest();
- GoogleCloudMlV1beta1CancelJobRequest.fromJson(core.Map _json) {
+ GoogleCloudMlV1CancelJobRequest.fromJson(core.Map _json) {
}
core.Map toJson() {
@@ -1391,15 +1169,15 @@ class GoogleCloudMlV1beta1CancelJobRequest {
}
/** Returns service account information associated with a project. */
-class GoogleCloudMlV1beta1GetConfigResponse {
+class GoogleCloudMlV1GetConfigResponse {
/** The service account Cloud ML uses to access resources in the project. */
core.String serviceAccount;
/** The project number for `service_account`. */
core.String serviceAccountProject;
- GoogleCloudMlV1beta1GetConfigResponse();
+ GoogleCloudMlV1GetConfigResponse();
- GoogleCloudMlV1beta1GetConfigResponse.fromJson(core.Map _json) {
+ GoogleCloudMlV1GetConfigResponse.fromJson(core.Map _json) {
if (_json.containsKey("serviceAccount")) {
serviceAccount = _json["serviceAccount"];
}
@@ -1426,24 +1204,24 @@ class GoogleCloudMlV1beta1GetConfigResponse {
* completion of a training job with hyperparameter tuning includes a list
* of HyperparameterOutput objects, one for each successful trial.
*/
-class GoogleCloudMlV1beta1HyperparameterOutput {
+class GoogleCloudMlV1HyperparameterOutput {
/** All recorded object metrics for this trial. */
- core.List<GoogleCloudMlV1beta1HyperparameterOutputHyperparameterMetric> allMetrics;
+ core.List<GoogleCloudMlV1HyperparameterOutputHyperparameterMetric> allMetrics;
/** The final objective metric seen for this trial. */
- GoogleCloudMlV1beta1HyperparameterOutputHyperparameterMetric finalMetric;
+ GoogleCloudMlV1HyperparameterOutputHyperparameterMetric finalMetric;
/** The hyperparameters given to this trial. */
core.Map<core.String, core.String> hyperparameters;
/** The trial id for these results. */
core.String trialId;
- GoogleCloudMlV1beta1HyperparameterOutput();
+ GoogleCloudMlV1HyperparameterOutput();
- GoogleCloudMlV1beta1HyperparameterOutput.fromJson(core.Map _json) {
+ GoogleCloudMlV1HyperparameterOutput.fromJson(core.Map _json) {
if (_json.containsKey("allMetrics")) {
- allMetrics = _json["allMetrics"].map((value) => new GoogleCloudMlV1beta1HyperparameterOutputHyperparameterMetric.fromJson(value)).toList();
+ allMetrics = _json["allMetrics"].map((value) => new GoogleCloudMlV1HyperparameterOutputHyperparameterMetric.fromJson(value)).toList();
}
if (_json.containsKey("finalMetric")) {
- finalMetric = new GoogleCloudMlV1beta1HyperparameterOutputHyperparameterMetric.fromJson(_json["finalMetric"]);
+ finalMetric = new GoogleCloudMlV1HyperparameterOutputHyperparameterMetric.fromJson(_json["finalMetric"]);
}
if (_json.containsKey("hyperparameters")) {
hyperparameters = _json["hyperparameters"];
@@ -1472,7 +1250,7 @@ class GoogleCloudMlV1beta1HyperparameterOutput {
}
/** Represents a set of hyperparameters to optimize. */
-class GoogleCloudMlV1beta1HyperparameterSpec {
+class GoogleCloudMlV1HyperparameterSpec {
/**
* Required. The type of goal to use for tuning. Available types are
* `MAXIMIZE` and `MINIMIZE`.
@@ -1513,11 +1291,11 @@ class GoogleCloudMlV1beta1HyperparameterSpec {
*/
core.int maxTrials;
/** Required. The set of parameters to tune. */
- core.List<GoogleCloudMlV1beta1ParameterSpec> params;
+ core.List<GoogleCloudMlV1ParameterSpec> params;
- GoogleCloudMlV1beta1HyperparameterSpec();
+ GoogleCloudMlV1HyperparameterSpec();
- GoogleCloudMlV1beta1HyperparameterSpec.fromJson(core.Map _json) {
+ GoogleCloudMlV1HyperparameterSpec.fromJson(core.Map _json) {
if (_json.containsKey("goal")) {
goal = _json["goal"];
}
@@ -1531,7 +1309,7 @@ class GoogleCloudMlV1beta1HyperparameterSpec {
maxTrials = _json["maxTrials"];
}
if (_json.containsKey("params")) {
- params = _json["params"].map((value) => new GoogleCloudMlV1beta1ParameterSpec.fromJson(value)).toList();
+ params = _json["params"].map((value) => new GoogleCloudMlV1ParameterSpec.fromJson(value)).toList();
}
}
@@ -1557,7 +1335,7 @@ class GoogleCloudMlV1beta1HyperparameterSpec {
}
/** Represents a training or prediction job. */
-class GoogleCloudMlV1beta1Job {
+class GoogleCloudMlV1Job {
/** Output only. When the job was created. */
core.String createTime;
/** Output only. When the job processing was completed. */
@@ -1567,9 +1345,9 @@ class GoogleCloudMlV1beta1Job {
/** Required. The user-specified id of the job. */
core.String jobId;
/** Input parameters to create a prediction job. */
- GoogleCloudMlV1beta1PredictionInput predictionInput;
+ GoogleCloudMlV1PredictionInput predictionInput;
/** The current prediction job result. */
- GoogleCloudMlV1beta1PredictionOutput predictionOutput;
+ GoogleCloudMlV1PredictionOutput predictionOutput;
/** Output only. When the job processing was started. */
core.String startTime;
/**
@@ -1590,13 +1368,13 @@ class GoogleCloudMlV1beta1Job {
*/
core.String state;
/** Input parameters to create a training job. */
- GoogleCloudMlV1beta1TrainingInput trainingInput;
+ GoogleCloudMlV1TrainingInput trainingInput;
/** The current training job result. */
- GoogleCloudMlV1beta1TrainingOutput trainingOutput;
+ GoogleCloudMlV1TrainingOutput trainingOutput;
- GoogleCloudMlV1beta1Job();
+ GoogleCloudMlV1Job();
- GoogleCloudMlV1beta1Job.fromJson(core.Map _json) {
+ GoogleCloudMlV1Job.fromJson(core.Map _json) {
if (_json.containsKey("createTime")) {
createTime = _json["createTime"];
}
@@ -1610,10 +1388,10 @@ class GoogleCloudMlV1beta1Job {
jobId = _json["jobId"];
}
if (_json.containsKey("predictionInput")) {
- predictionInput = new GoogleCloudMlV1beta1PredictionInput.fromJson(_json["predictionInput"]);
+ predictionInput = new GoogleCloudMlV1PredictionInput.fromJson(_json["predictionInput"]);
}
if (_json.containsKey("predictionOutput")) {
- predictionOutput = new GoogleCloudMlV1beta1PredictionOutput.fromJson(_json["predictionOutput"]);
+ predictionOutput = new GoogleCloudMlV1PredictionOutput.fromJson(_json["predictionOutput"]);
}
if (_json.containsKey("startTime")) {
startTime = _json["startTime"];
@@ -1622,10 +1400,10 @@ class GoogleCloudMlV1beta1Job {
state = _json["state"];
}
if (_json.containsKey("trainingInput")) {
- trainingInput = new GoogleCloudMlV1beta1TrainingInput.fromJson(_json["trainingInput"]);
+ trainingInput = new GoogleCloudMlV1TrainingInput.fromJson(_json["trainingInput"]);
}
if (_json.containsKey("trainingOutput")) {
- trainingOutput = new GoogleCloudMlV1beta1TrainingOutput.fromJson(_json["trainingOutput"]);
+ trainingOutput = new GoogleCloudMlV1TrainingOutput.fromJson(_json["trainingOutput"]);
}
}
@@ -1666,20 +1444,20 @@ class GoogleCloudMlV1beta1Job {
}
/** Response message for the ListJobs method. */
-class GoogleCloudMlV1beta1ListJobsResponse {
+class GoogleCloudMlV1ListJobsResponse {
/** The list of jobs. */
- core.List<GoogleCloudMlV1beta1Job> jobs;
+ core.List<GoogleCloudMlV1Job> jobs;
/**
* Optional. Pass this token as the `page_token` field of the request for a
* subsequent call.
*/
core.String nextPageToken;
- GoogleCloudMlV1beta1ListJobsResponse();
+ GoogleCloudMlV1ListJobsResponse();
- GoogleCloudMlV1beta1ListJobsResponse.fromJson(core.Map _json) {
+ GoogleCloudMlV1ListJobsResponse.fromJson(core.Map _json) {
if (_json.containsKey("jobs")) {
- jobs = _json["jobs"].map((value) => new GoogleCloudMlV1beta1Job.fromJson(value)).toList();
+ jobs = _json["jobs"].map((value) => new GoogleCloudMlV1Job.fromJson(value)).toList();
}
if (_json.containsKey("nextPageToken")) {
nextPageToken = _json["nextPageToken"];
@@ -1699,20 +1477,20 @@ class GoogleCloudMlV1beta1ListJobsResponse {
}
/** Response message for the ListModels method. */
-class GoogleCloudMlV1beta1ListModelsResponse {
+class GoogleCloudMlV1ListModelsResponse {
/** The list of models. */
- core.List<GoogleCloudMlV1beta1Model> models;
+ core.List<GoogleCloudMlV1Model> models;
/**
* Optional. Pass this token as the `page_token` field of the request for a
* subsequent call.
*/
core.String nextPageToken;
- GoogleCloudMlV1beta1ListModelsResponse();
+ GoogleCloudMlV1ListModelsResponse();
- GoogleCloudMlV1beta1ListModelsResponse.fromJson(core.Map _json) {
+ GoogleCloudMlV1ListModelsResponse.fromJson(core.Map _json) {
if (_json.containsKey("models")) {
- models = _json["models"].map((value) => new GoogleCloudMlV1beta1Model.fromJson(value)).toList();
+ models = _json["models"].map((value) => new GoogleCloudMlV1Model.fromJson(value)).toList();
}
if (_json.containsKey("nextPageToken")) {
nextPageToken = _json["nextPageToken"];
@@ -1732,23 +1510,23 @@ class GoogleCloudMlV1beta1ListModelsResponse {
}
/** Response message for the ListVersions method. */
-class GoogleCloudMlV1beta1ListVersionsResponse {
+class GoogleCloudMlV1ListVersionsResponse {
/**
* Optional. Pass this token as the `page_token` field of the request for a
* subsequent call.
*/
core.String nextPageToken;
/** The list of versions. */
- core.List<GoogleCloudMlV1beta1Version> versions;
+ core.List<GoogleCloudMlV1Version> versions;
- GoogleCloudMlV1beta1ListVersionsResponse();
+ GoogleCloudMlV1ListVersionsResponse();
- GoogleCloudMlV1beta1ListVersionsResponse.fromJson(core.Map _json) {
+ GoogleCloudMlV1ListVersionsResponse.fromJson(core.Map _json) {
if (_json.containsKey("nextPageToken")) {
nextPageToken = _json["nextPageToken"];
}
if (_json.containsKey("versions")) {
- versions = _json["versions"].map((value) => new GoogleCloudMlV1beta1Version.fromJson(value)).toList();
+ versions = _json["versions"].map((value) => new GoogleCloudMlV1Version.fromJson(value)).toList();
}
}
@@ -1765,7 +1543,7 @@ class GoogleCloudMlV1beta1ListVersionsResponse {
}
/** Options for manually scaling a model. */
-class GoogleCloudMlV1beta1ManualScaling {
+class GoogleCloudMlV1ManualScaling {
/**
* The number of nodes to allocate for this model. These nodes are always up,
* starting from the time the model is deployed, so the cost of operating
@@ -1774,9 +1552,9 @@ class GoogleCloudMlV1beta1ManualScaling {
*/
core.int nodes;
- GoogleCloudMlV1beta1ManualScaling();
+ GoogleCloudMlV1ManualScaling();
- GoogleCloudMlV1beta1ManualScaling.fromJson(core.Map _json) {
+ GoogleCloudMlV1ManualScaling.fromJson(core.Map _json) {
if (_json.containsKey("nodes")) {
nodes = _json["nodes"];
}
@@ -1798,15 +1576,15 @@ class GoogleCloudMlV1beta1ManualScaling {
* model ready to receive prediction requests. The model itself is just a
* container.
*/
-class GoogleCloudMlV1beta1Model {
+class GoogleCloudMlV1Model {
/**
* Output only. The default version of the model. This version will be used to
* handle prediction requests that do not specify a version.
*
* You can change the default version by calling
- * [projects.methods.versions.setDefault](/ml/reference/rest/v1beta1/projects.models.versions/setDefault).
+ * [projects.methods.versions.setDefault](/ml-engine/reference/rest/v1/projects.models.versions/setDefault).
*/
- GoogleCloudMlV1beta1Version defaultVersion;
+ GoogleCloudMlV1Version defaultVersion;
/** Optional. The description specified for the model when it was created. */
core.String description;
/**
@@ -1824,14 +1602,20 @@ class GoogleCloudMlV1beta1Model {
* Optional. The list of regions where the model is going to be deployed.
* Currently only one region per model is supported.
* Defaults to 'us-central1' if nothing is set.
+ * Note:
+ * * No matter where a model is deployed, it can always be accessed by
+ * users from anywhere, both for online and batch prediction.
+ * * The region for a batch prediction job is set by the region field when
+ * submitting the batch prediction job and does not take its value from
+ * this field.
*/
core.List<core.String> regions;
- GoogleCloudMlV1beta1Model();
+ GoogleCloudMlV1Model();
- GoogleCloudMlV1beta1Model.fromJson(core.Map _json) {
+ GoogleCloudMlV1Model.fromJson(core.Map _json) {
if (_json.containsKey("defaultVersion")) {
- defaultVersion = new GoogleCloudMlV1beta1Version.fromJson(_json["defaultVersion"]);
+ defaultVersion = new GoogleCloudMlV1Version.fromJson(_json["defaultVersion"]);
}
if (_json.containsKey("description")) {
description = _json["description"];
@@ -1869,7 +1653,7 @@ class GoogleCloudMlV1beta1Model {
}
/** Represents the metadata of the long-running operation. */
-class GoogleCloudMlV1beta1OperationMetadata {
+class GoogleCloudMlV1OperationMetadata {
/** The time the operation was submitted. */
core.String createTime;
/** The time operation processing completed. */
@@ -1890,11 +1674,11 @@ class GoogleCloudMlV1beta1OperationMetadata {
/** The time operation processing started. */
core.String startTime;
/** Contains the version associated with the operation. */
- GoogleCloudMlV1beta1Version version;
+ GoogleCloudMlV1Version version;
- GoogleCloudMlV1beta1OperationMetadata();
+ GoogleCloudMlV1OperationMetadata();
- GoogleCloudMlV1beta1OperationMetadata.fromJson(core.Map _json) {
+ GoogleCloudMlV1OperationMetadata.fromJson(core.Map _json) {
if (_json.containsKey("createTime")) {
createTime = _json["createTime"];
}
@@ -1914,7 +1698,7 @@ class GoogleCloudMlV1beta1OperationMetadata {
startTime = _json["startTime"];
}
if (_json.containsKey("version")) {
- version = new GoogleCloudMlV1beta1Version.fromJson(_json["version"]);
+ version = new GoogleCloudMlV1Version.fromJson(_json["version"]);
}
}
@@ -1946,7 +1730,7 @@ class GoogleCloudMlV1beta1OperationMetadata {
}
/** Represents a single hyperparameter to optimize. */
-class GoogleCloudMlV1beta1ParameterSpec {
+class GoogleCloudMlV1ParameterSpec {
/** Required if type is `CATEGORICAL`. The list of possible categories. */
core.List<core.String> categoricalValues;
/**
@@ -2010,9 +1794,9 @@ class GoogleCloudMlV1beta1ParameterSpec {
*/
core.String type;
- GoogleCloudMlV1beta1ParameterSpec();
+ GoogleCloudMlV1ParameterSpec();
- GoogleCloudMlV1beta1ParameterSpec.fromJson(core.Map _json) {
+ GoogleCloudMlV1ParameterSpec.fromJson(core.Map _json) {
if (_json.containsKey("categoricalValues")) {
categoricalValues = _json["categoricalValues"];
}
@@ -2251,16 +2035,16 @@ class GoogleCloudMlV1beta1ParameterSpec {
* instance, the response body will contain no predictions and will contian
* a single error entry instead.
*/
-class GoogleCloudMlV1beta1PredictRequest {
+class GoogleCloudMlV1PredictRequest {
/**
*
* Required. The prediction request body.
*/
GoogleApiHttpBody httpBody;
- GoogleCloudMlV1beta1PredictRequest();
+ GoogleCloudMlV1PredictRequest();
- GoogleCloudMlV1beta1PredictRequest.fromJson(core.Map _json) {
+ GoogleCloudMlV1PredictRequest.fromJson(core.Map _json) {
if (_json.containsKey("httpBody")) {
httpBody = new GoogleApiHttpBody.fromJson(_json["httpBody"]);
}
@@ -2276,7 +2060,7 @@ class GoogleCloudMlV1beta1PredictRequest {
}
/** Represents input parameters for a prediction job. */
-class GoogleCloudMlV1beta1PredictionInput {
+class GoogleCloudMlV1PredictionInput {
/**
* Required. The format of the input data files.
* Possible string values are:
@@ -2332,9 +2116,9 @@ class GoogleCloudMlV1beta1PredictionInput {
*/
core.String versionName;
- GoogleCloudMlV1beta1PredictionInput();
+ GoogleCloudMlV1PredictionInput();
- GoogleCloudMlV1beta1PredictionInput.fromJson(core.Map _json) {
+ GoogleCloudMlV1PredictionInput.fromJson(core.Map _json) {
if (_json.containsKey("dataFormat")) {
dataFormat = _json["dataFormat"];
}
@@ -2398,7 +2182,7 @@ class GoogleCloudMlV1beta1PredictionInput {
}
/** Represents results of a prediction job. */
-class GoogleCloudMlV1beta1PredictionOutput {
+class GoogleCloudMlV1PredictionOutput {
/** The number of data instances which resulted in errors. */
core.String errorCount;
/** Node hours used by the batch prediction job. */
@@ -2410,9 +2194,9 @@ class GoogleCloudMlV1beta1PredictionOutput {
/** The number of generated predictions. */
core.String predictionCount;
- GoogleCloudMlV1beta1PredictionOutput();
+ GoogleCloudMlV1PredictionOutput();
- GoogleCloudMlV1beta1PredictionOutput.fromJson(core.Map _json) {
+ GoogleCloudMlV1PredictionOutput.fromJson(core.Map _json) {
if (_json.containsKey("errorCount")) {
errorCount = _json["errorCount"];
}
@@ -2446,11 +2230,11 @@ class GoogleCloudMlV1beta1PredictionOutput {
}
/** Request message for the SetDefaultVersion request. */
-class GoogleCloudMlV1beta1SetDefaultVersionRequest {
+class GoogleCloudMlV1SetDefaultVersionRequest {
- GoogleCloudMlV1beta1SetDefaultVersionRequest();
+ GoogleCloudMlV1SetDefaultVersionRequest();
- GoogleCloudMlV1beta1SetDefaultVersionRequest.fromJson(core.Map _json) {
+ GoogleCloudMlV1SetDefaultVersionRequest.fromJson(core.Map _json) {
}
core.Map toJson() {
@@ -2460,11 +2244,11 @@ class GoogleCloudMlV1beta1SetDefaultVersionRequest {
}
/** Represents input parameters for a training job. */
-class GoogleCloudMlV1beta1TrainingInput {
+class GoogleCloudMlV1TrainingInput {
/** Optional. Command line arguments to pass to the program. */
core.List<core.String> args;
/** Optional. The set of Hyperparameters to tune. */
- GoogleCloudMlV1beta1HyperparameterSpec hyperparameters;
+ GoogleCloudMlV1HyperparameterSpec hyperparameters;
/**
* Optional. A Google Cloud Storage path in which to store training outputs
* and other data needed for training. This path is passed to your TensorFlow
@@ -2510,7 +2294,7 @@ class GoogleCloudMlV1beta1TrainingInput {
* <dd>
* A machine equivalent to <code suppresswarning="true">standard</code> that
* also includes a
- * <a href="ml/docs/how-tos/using-gpus">
+ * <a href="/ml-engine/docs/how-tos/using-gpus">
* GPU that you can use in your trainer</a>.
* </dd>
* <dt>complex_model_m_gpu</dt>
@@ -2568,7 +2352,7 @@ class GoogleCloudMlV1beta1TrainingInput {
* - "STANDARD_1" : Many workers and a few parameter servers.
* - "PREMIUM_1" : A large number of workers with many parameter servers.
* - "BASIC_GPU" : A single worker instance [with a
- * GPU](ml/docs/how-tos/using-gpus).
+ * GPU](/ml-engine/docs/how-tos/using-gpus).
* - "CUSTOM" : The CUSTOM tier is not a set tier, but rather enables you to
* use your
* own cluster specification. When you use this tier, set values to
@@ -2615,14 +2399,14 @@ class GoogleCloudMlV1beta1TrainingInput {
*/
core.String workerType;
- GoogleCloudMlV1beta1TrainingInput();
+ GoogleCloudMlV1TrainingInput();
- GoogleCloudMlV1beta1TrainingInput.fromJson(core.Map _json) {
+ GoogleCloudMlV1TrainingInput.fromJson(core.Map _json) {
if (_json.containsKey("args")) {
args = _json["args"];
}
if (_json.containsKey("hyperparameters")) {
- hyperparameters = new GoogleCloudMlV1beta1HyperparameterSpec.fromJson(_json["hyperparameters"]);
+ hyperparameters = new GoogleCloudMlV1HyperparameterSpec.fromJson(_json["hyperparameters"]);
}
if (_json.containsKey("jobDir")) {
jobDir = _json["jobDir"];
@@ -2705,7 +2489,7 @@ class GoogleCloudMlV1beta1TrainingInput {
}
/** Represents results of a training job. Output only. */
-class GoogleCloudMlV1beta1TrainingOutput {
+class GoogleCloudMlV1TrainingOutput {
/**
* The number of hyperparameter tuning trials that completed successfully.
* Only set for hyperparameter tuning jobs.
@@ -2719,11 +2503,11 @@ class GoogleCloudMlV1beta1TrainingOutput {
* Results for individual Hyperparameter trials.
* Only set for hyperparameter tuning jobs.
*/
- core.List<GoogleCloudMlV1beta1HyperparameterOutput> trials;
+ core.List<GoogleCloudMlV1HyperparameterOutput> trials;
- GoogleCloudMlV1beta1TrainingOutput();
+ GoogleCloudMlV1TrainingOutput();
- GoogleCloudMlV1beta1TrainingOutput.fromJson(core.Map _json) {
+ GoogleCloudMlV1TrainingOutput.fromJson(core.Map _json) {
if (_json.containsKey("completedTrialCount")) {
completedTrialCount = _json["completedTrialCount"];
}
@@ -2734,7 +2518,7 @@ class GoogleCloudMlV1beta1TrainingOutput {
isHyperparameterTuningJob = _json["isHyperparameterTuningJob"];
}
if (_json.containsKey("trials")) {
- trials = _json["trials"].map((value) => new GoogleCloudMlV1beta1HyperparameterOutput.fromJson(value)).toList();
+ trials = _json["trials"].map((value) => new GoogleCloudMlV1HyperparameterOutput.fromJson(value)).toList();
}
}
@@ -2762,7 +2546,230 @@ class GoogleCloudMlV1beta1TrainingOutput {
* Each version is a trained model deployed in the cloud, ready to handle
* prediction requests. A model can have multiple versions. You can get
* information about all of the versions of a given model by calling
- * [projects.models.versions.list](/ml/reference/rest/v1beta1/projects.models.versions/list).
+ * [projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list).
+ */
+class GoogleCloudMlV1Version {
+ /** Output only. The time the version was created. */
+ core.String createTime;
+ /**
+ * Required. The Google Cloud Storage location of the trained model used to
+ * create the version. See the
+ * [overview of model
+ * deployment](/ml-engine/docs/concepts/deployment-overview) for
+ * more informaiton.
+ *
+ * When passing Version to
+ * [projects.models.versions.create](/ml-engine/reference/rest/v1/projects.models.versions/create)
+ * the model service uses the specified location as the source of the model.
+ * Once deployed, the model version is hosted by the prediction service, so
+ * this location is useful only as a historical record.
+ */
+ core.String deploymentUri;
+ /**
+ * Optional. The description specified for the version when it was created.
+ */
+ core.String description;
+ /**
+ * Output only. If true, this version will be used to handle prediction
+ * requests that do not specify a version.
+ *
+ * You can change the default version by calling
+ * [projects.methods.versions.setDefault](/ml-engine/reference/rest/v1/projects.models.versions/setDefault).
+ */
+ core.bool isDefault;
+ /** Output only. The time the version was last used for prediction. */
+ core.String lastUseTime;
+ /**
+ * Optional. Manually select the number of nodes to use for serving the
+ * model. If unset (i.e., by default), the number of nodes used to serve
+ * the model automatically scales with traffic. However, care should be
+ * taken to ramp up traffic according to the model's ability to scale. If
+ * your model needs to handle bursts of traffic beyond it's ability to
+ * scale, it is recommended you set this field appropriately.
+ */
+ GoogleCloudMlV1ManualScaling manualScaling;
+ /**
+ * Required.The name specified for the version when it was created.
+ *
+ * The version name must be unique within the model it is created in.
+ */
+ core.String name;
+ /**
+ * Optional. The Google Cloud ML runtime version to use for this deployment.
+ * If not set, Google Cloud ML will choose a version.
+ */
+ core.String runtimeVersion;
+
+ GoogleCloudMlV1Version();
+
+ GoogleCloudMlV1Version.fromJson(core.Map _json) {
+ if (_json.containsKey("createTime")) {
+ createTime = _json["createTime"];
+ }
+ if (_json.containsKey("deploymentUri")) {
+ deploymentUri = _json["deploymentUri"];
+ }
+ if (_json.containsKey("description")) {
+ description = _json["description"];
+ }
+ if (_json.containsKey("isDefault")) {
+ isDefault = _json["isDefault"];
+ }
+ if (_json.containsKey("lastUseTime")) {
+ lastUseTime = _json["lastUseTime"];
+ }
+ if (_json.containsKey("manualScaling")) {
+ manualScaling = new GoogleCloudMlV1ManualScaling.fromJson(_json["manualScaling"]);
+ }
+ if (_json.containsKey("name")) {
+ name = _json["name"];
+ }
+ if (_json.containsKey("runtimeVersion")) {
+ runtimeVersion = _json["runtimeVersion"];
+ }
+ }
+
+ core.Map toJson() {
+ var _json = new core.Map();
+ if (createTime != null) {
+ _json["createTime"] = createTime;
+ }
+ if (deploymentUri != null) {
+ _json["deploymentUri"] = deploymentUri;
+ }
+ if (description != null) {
+ _json["description"] = description;
+ }
+ if (isDefault != null) {
+ _json["isDefault"] = isDefault;
+ }
+ if (lastUseTime != null) {
+ _json["lastUseTime"] = lastUseTime;
+ }
+ if (manualScaling != null) {
+ _json["manualScaling"] = (manualScaling).toJson();
+ }
+ if (name != null) {
+ _json["name"] = name;
+ }
+ if (runtimeVersion != null) {
+ _json["runtimeVersion"] = runtimeVersion;
+ }
+ return _json;
+ }
+}
+
+/** Options for manually scaling a model. */
+class GoogleCloudMlV1beta1ManualScaling {
+ /**
+ * The number of nodes to allocate for this model. These nodes are always up,
+ * starting from the time the model is deployed, so the cost of operating
+ * this model will be proportional to nodes * number of hours since
+ * deployment.
+ */
+ core.int nodes;
+
+ GoogleCloudMlV1beta1ManualScaling();
+
+ GoogleCloudMlV1beta1ManualScaling.fromJson(core.Map _json) {
+ if (_json.containsKey("nodes")) {
+ nodes = _json["nodes"];
+ }
+ }
+
+ core.Map toJson() {
+ var _json = new core.Map();
+ if (nodes != null) {
+ _json["nodes"] = nodes;
+ }
+ return _json;
+ }
+}
+
+/** Represents the metadata of the long-running operation. */
+class GoogleCloudMlV1beta1OperationMetadata {
+ /** The time the operation was submitted. */
+ core.String createTime;
+ /** The time operation processing completed. */
+ core.String endTime;
+ /** Indicates whether a request to cancel this operation has been made. */
+ core.bool isCancellationRequested;
+ /** Contains the name of the model associated with the operation. */
+ core.String modelName;
+ /**
+ * The operation type.
+ * Possible string values are:
+ * - "OPERATION_TYPE_UNSPECIFIED" : Unspecified operation type.
+ * - "CREATE_VERSION" : An operation to create a new version.
+ * - "DELETE_VERSION" : An operation to delete an existing version.
+ * - "DELETE_MODEL" : An operation to delete an existing model.
+ */
+ core.String operationType;
+ /** The time operation processing started. */
+ core.String startTime;
+ /** Contains the version associated with the operation. */
+ GoogleCloudMlV1beta1Version version;
+
+ GoogleCloudMlV1beta1OperationMetadata();
+
+ GoogleCloudMlV1beta1OperationMetadata.fromJson(core.Map _json) {
+ if (_json.containsKey("createTime")) {
+ createTime = _json["createTime"];
+ }
+ if (_json.containsKey("endTime")) {
+ endTime = _json["endTime"];
+ }
+ if (_json.containsKey("isCancellationRequested")) {
+ isCancellationRequested = _json["isCancellationRequested"];
+ }
+ if (_json.containsKey("modelName")) {
+ modelName = _json["modelName"];
+ }
+ if (_json.containsKey("operationType")) {
+ operationType = _json["operationType"];
+ }
+ if (_json.containsKey("startTime")) {
+ startTime = _json["startTime"];
+ }
+ if (_json.containsKey("version")) {
+ version = new GoogleCloudMlV1beta1Version.fromJson(_json["version"]);
+ }
+ }
+
+ core.Map toJson() {
+ var _json = new core.Map();
+ if (createTime != null) {
+ _json["createTime"] = createTime;
+ }
+ if (endTime != null) {
+ _json["endTime"] = endTime;
+ }
+ if (isCancellationRequested != null) {
+ _json["isCancellationRequested"] = isCancellationRequested;
+ }
+ if (modelName != null) {
+ _json["modelName"] = modelName;
+ }
+ if (operationType != null) {
+ _json["operationType"] = operationType;
+ }
+ if (startTime != null) {
+ _json["startTime"] = startTime;
+ }
+ if (version != null) {
+ _json["version"] = (version).toJson();
+ }
+ return _json;
+ }
+}
+
+/**
+ * Represents a version of the model.
+ *
+ * Each version is a trained model deployed in the cloud, ready to handle
+ * prediction requests. A model can have multiple versions. You can get
+ * information about all of the versions of a given model by calling
+ * [projects.models.versions.list](/ml-engine/reference/rest/v1beta1/projects.models.versions/list).
*/
class GoogleCloudMlV1beta1Version {
/** Output only. The time the version was created. */
@@ -2770,11 +2777,12 @@ class GoogleCloudMlV1beta1Version {
/**
* Required. The Google Cloud Storage location of the trained model used to
* create the version. See the
- * [overview of model deployment](/ml/docs/concepts/deployment-overview) for
+ * [overview of model
+ * deployment](/ml-engine/docs/concepts/deployment-overview) for
* more informaiton.
*
* When passing Version to
- * [projects.models.versions.create](/ml/reference/rest/v1beta1/projects.models.versions/create)
+ * [projects.models.versions.create](/ml-engine/reference/rest/v1beta1/projects.models.versions/create)
* the model service uses the specified location as the source of the model.
* Once deployed, the model version is hosted by the prediction service, so
* this location is useful only as a historical record.
@@ -2789,7 +2797,7 @@ class GoogleCloudMlV1beta1Version {
* requests that do not specify a version.
*
* You can change the default version by calling
- * [projects.methods.versions.setDefault](/ml/reference/rest/v1beta1/projects.models.versions/setDefault).
+ * [projects.methods.versions.setDefault](/ml-engine/reference/rest/v1beta1/projects.models.versions/setDefault).
*/
core.bool isDefault;
/** Output only. The time the version was last used for prediction. */
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