google_api_machine_learning v0.8.0 GoogleApi.MachineLearning.V1.Api.Projects View Source
API calls for all endpoints tagged Projects
.
Link to this section Summary
Functions
Get the service account information associated with your project. You need this information in order to grant the service account permissions for the Google Cloud Storage location where you put your model training code for training the model with Google Cloud Machine Learning.
Cancels a running job.
Creates a training or a batch prediction job.
Describes a job.
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
Lists the jobs in the project. If there are no jobs that match the request parameters, the list request returns an empty response body: {}.
Updates a specific job resource. Currently the only supported fields to update are `labels`.
Sets the access control policy on the specified resource. Replaces any existing policy.
Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND error. Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.
Get the complete list of CMLE capabilities in a location, along with their location-specific properties.
List all locations that provides at least one type of CMLE capability.
Creates a model which will later contain one or more versions. You must add at least one version before you can request predictions from the model. Add versions by calling projects.models.versions.create.
Deletes a model. You can only delete a model if there are no versions in it. You can delete versions by calling projects.models.versions.delete.
Gets information about a model, including its name, the description (if set), and the default version (if at least one version of the model has been deployed).
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
Lists the models in a project. Each project can contain multiple models, and each model can have multiple versions. If there are no models that match the request parameters, the list request returns an empty response body: {}.
Updates a specific model resource. Currently the only supported fields to update are `description` and `default_version.name`.
Sets the access control policy on the specified resource. Replaces any existing policy.
Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND error. Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.
Creates a new version of a model from a trained TensorFlow model. If the version created in the cloud by this call is the first deployed version of the specified model, it will be made the default version of the 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.
Deletes a model version. Each model can have multiple versions deployed and in use at any given time. Use this method to remove a single version. Note: You cannot delete the version that is set as the default version of the model unless it is the only remaining version.
Gets information about a model version. Models can have multiple versions. You can call projects.models.versions.list to get the same information that this method returns for all of the versions of a model.
Gets basic information about all the versions of a model. If you expect that a model has many versions, or if you need to handle only a limited number of results at a time, you can request that the list be retrieved in batches (called pages). If there are no versions that match the request parameters, the list request returns an empty response body: {}.
Updates the specified Version resource. Currently the only update-able fields are `description` and `autoScaling.minNodes`.
Designates a version to be the default for the model. The default version is used for prediction requests made against the model that don't specify a version. The first version to be created for a model is automatically set as the default. You must make any subsequent changes to the default version setting manually using this method.
Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of 1, corresponding to `Code.CANCELLED`.
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`. NOTE: the `name` binding allows API services to override the binding to use different resource name schemes, such as `users//operations`. To override the binding, API services can add a binding such as `"/v1/{name=users/}/operations"` to their service configuration. For backwards compatibility, the default name includes the operations collection id, however overriding users must ensure the name binding is the parent resource, without the operations collection id.
Performs prediction on the data in the request. AI Platform implements a custom `predict` verb on top of an HTTP POST method. <p>For details of the request and response format, see the guide to the predict request format.
Link to this section Functions
ml_projects_get_config(connection, projects_id, optional_params \\ [], opts \\ []) View Source
Get the service account information associated with your project. You need this information in order to grant the service account permissions for the Google Cloud Storage location where you put your model training code for training the model with Google Cloud Machine Learning.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `name`. Required. The project name.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1GetConfigResponse{}} on success {:error, info} on failure
ml_projects_jobs_cancel(connection, projects_id, jobs_id, optional_params \\ [], opts \\ []) View Source
Cancels a running job.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `name`. Required. The name of the job to cancel.
- jobs_id (String.t): Part of `name`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): 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.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): 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.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
- :body (GoogleCloudMlV1CancelJobRequest):
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleProtobufEmpty{}} on success {:error, info} on failure
ml_projects_jobs_create(connection, projects_id, optional_params \\ [], opts \\ []) View Source
Creates a training or a batch prediction job.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `parent`. Required. The project name.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
- :body (GoogleCloudMlV1Job):
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1Job{}} on success {:error, info} on failure
ml_projects_jobs_get(connection, projects_id, jobs_id, optional_params \\ [], opts \\ []) View Source
Describes a job.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `name`. Required. The name of the job to get the description of.
- jobs_id (String.t): Part of `name`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): 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.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): 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.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1Job{}} on success {:error, info} on failure
ml_projects_jobs_get_iam_policy(connection, projects_id, jobs_id, optional_params \\ [], opts \\ []) View Source
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `resource`. REQUIRED: The resource for which the policy is being requested. See the operation documentation for the appropriate value for this field.
- jobs_id (String.t): Part of `resource`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleIamV1Policy{}} on success {:error, info} on failure
ml_projects_jobs_list(connection, projects_id, optional_params \\ [], opts \\ []) View Source
Lists the jobs in the project. If there are no jobs that match the request parameters, the list request returns an empty response body: {}.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `parent`. Required. The name of the project for which to list jobs.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): 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.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): 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.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
- :filter (String.t): Optional. Specifies the subset of jobs to retrieve. You can filter on the value of one or more attributes of the job object. For example, retrieve jobs with a job identifier that starts with 'census': <p><code>gcloud ai-platform jobs list --filter='jobId:census'</code> <p>List all failed jobs with names that start with 'rnn': <p><code>gcloud ai-platform jobs list --filter='jobId:rnn AND state:FAILED'</code> <p>For more examples, see the guide to <a href="/ml-engine/docs/tensorflow/monitor-training">monitoring jobs</a>.
- :pageSize (integer()): Optional. The number of jobs to retrieve per "page" of results. If there are more remaining results than this number, the response message will contain a valid value in the `next_page_token` field. The default value is 20, and the maximum page size is 100.
- :pageToken (String.t): 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 the previous call.
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1ListJobsResponse{}} on success {:error, info} on failure
ml_projects_jobs_patch(connection, projects_id, jobs_id, optional_params \\ [], opts \\ []) View Source
Updates a specific job resource. Currently the only supported fields to update are `labels`.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `name`. Required. The job name.
- jobs_id (String.t): Part of `name`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): 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.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): 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.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
- :updateMask (String.t): Required. Specifies the path, relative to `Job`, of the field to update. To adopt etag mechanism, include `etag` field in the mask, and include the `etag` value in your job resource. For example, to change the labels of a job, the `update_mask` parameter would be specified as `labels`, `etag`, and the `PATCH` request body would specify the new value, as follows: { "labels": { "owner": "Google", "color": "Blue" } "etag": "33a64df551425fcc55e4d42a148795d9f25f89d4" } If `etag` matches the one on the server, the labels of the job will be replaced with the given ones, and the server end `etag` will be recalculated. Currently the only supported update masks are `labels` and `etag`.
- :body (GoogleCloudMlV1Job):
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1Job{}} on success {:error, info} on failure
ml_projects_jobs_set_iam_policy(connection, projects_id, jobs_id, optional_params \\ [], opts \\ []) View Source
Sets the access control policy on the specified resource. Replaces any existing policy.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `resource`. REQUIRED: The resource for which the policy is being specified. See the operation documentation for the appropriate value for this field.
- jobs_id (String.t): Part of `resource`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): 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.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): 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.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
- :body (GoogleIamV1SetIamPolicyRequest):
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleIamV1Policy{}} on success {:error, info} on failure
ml_projects_jobs_test_iam_permissions(connection, projects_id, jobs_id, optional_params \\ [], opts \\ []) View Source
Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND error. Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `resource`. REQUIRED: The resource for which the policy detail is being requested. See the operation documentation for the appropriate value for this field.
- jobs_id (String.t): Part of `resource`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
- :body (GoogleIamV1TestIamPermissionsRequest):
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleIamV1TestIamPermissionsResponse{}} on success {:error, info} on failure
ml_projects_locations_get(connection, projects_id, locations_id, optional_params \\ [], opts \\ []) View Source
Get the complete list of CMLE capabilities in a location, along with their location-specific properties.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `name`. Required. The name of the location.
- locations_id (String.t): Part of `name`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): 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.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): 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.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1Location{}} on success {:error, info} on failure
ml_projects_locations_list(connection, projects_id, optional_params \\ [], opts \\ []) View Source
List all locations that provides at least one type of CMLE capability.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `parent`. Required. The name of the project for which available locations are to be listed (since some locations might be whitelisted for specific projects).
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): 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.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): 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.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
- :pageSize (integer()): Optional. The number of locations to retrieve per "page" of results. If there are more remaining results than this number, the response message will contain a valid value in the `next_page_token` field. The default value is 20, and the maximum page size is 100.
- :pageToken (String.t): 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 the previous call.
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1ListLocationsResponse{}} on success {:error, info} on failure
ml_projects_models_create(connection, projects_id, optional_params \\ [], opts \\ []) View Source
Creates a model which will later contain one or more versions. You must add at least one version before you can request predictions from the model. Add versions by calling projects.models.versions.create.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `parent`. Required. The project name.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): 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.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): 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.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
- :body (GoogleCloudMlV1Model):
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1Model{}} on success {:error, info} on failure
ml_projects_models_delete(connection, projects_id, models_id, optional_params \\ [], opts \\ []) View Source
Deletes a model. You can only delete a model if there are no versions in it. You can delete versions by calling projects.models.versions.delete.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `name`. Required. The name of the model.
- models_id (String.t): Part of `name`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleLongrunningOperation{}} on success {:error, info} on failure
ml_projects_models_get(connection, projects_id, models_id, optional_params \\ [], opts \\ []) View Source
Gets information about a model, including its name, the description (if set), and the default version (if at least one version of the model has been deployed).
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `name`. Required. The name of the model.
- models_id (String.t): Part of `name`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): 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.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): 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.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1Model{}} on success {:error, info} on failure
ml_projects_models_get_iam_policy(connection, projects_id, models_id, optional_params \\ [], opts \\ []) View Source
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `resource`. REQUIRED: The resource for which the policy is being requested. See the operation documentation for the appropriate value for this field.
- models_id (String.t): Part of `resource`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleIamV1Policy{}} on success {:error, info} on failure
ml_projects_models_list(connection, projects_id, optional_params \\ [], opts \\ []) View Source
Lists the models in a project. Each project can contain multiple models, and each model can have multiple versions. If there are no models that match the request parameters, the list request returns an empty response body: {}.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `parent`. Required. The name of the project whose models are to be listed.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): 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.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): 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.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
- :filter (String.t): Optional. Specifies the subset of models to retrieve.
- :pageSize (integer()): Optional. The number of models to retrieve per "page" of results. If there are more remaining results than this number, the response message will contain a valid value in the `next_page_token` field. The default value is 20, and the maximum page size is 100.
- :pageToken (String.t): 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 the previous call.
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1ListModelsResponse{}} on success {:error, info} on failure
ml_projects_models_patch(connection, projects_id, models_id, optional_params \\ [], opts \\ []) View Source
Updates a specific model resource. Currently the only supported fields to update are `description` and `default_version.name`.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `name`. Required. The project name.
- models_id (String.t): Part of `name`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): 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.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): 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.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
- :updateMask (String.t): Required. Specifies the path, relative to `Model`, of the field to update. For example, to change the description of a model to "foo" and set its default version to "version_1", the `update_mask` parameter would be specified as `description`, `default_version.name`, and the `PATCH` request body would specify the new value, as follows: { "description": "foo", "defaultVersion": { "name":"version_1" } } Currently the supported update masks are `description` and `default_version.name`.
- :body (GoogleCloudMlV1Model):
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleLongrunningOperation{}} on success {:error, info} on failure
ml_projects_models_set_iam_policy(connection, projects_id, models_id, optional_params \\ [], opts \\ []) View Source
Sets the access control policy on the specified resource. Replaces any existing policy.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `resource`. REQUIRED: The resource for which the policy is being specified. See the operation documentation for the appropriate value for this field.
- models_id (String.t): Part of `resource`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): 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.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): 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.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
- :body (GoogleIamV1SetIamPolicyRequest):
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleIamV1Policy{}} on success {:error, info} on failure
ml_projects_models_test_iam_permissions(connection, projects_id, models_id, optional_params \\ [], opts \\ []) View Source
Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND error. Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `resource`. REQUIRED: The resource for which the policy detail is being requested. See the operation documentation for the appropriate value for this field.
- models_id (String.t): Part of `resource`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
- :body (GoogleIamV1TestIamPermissionsRequest):
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleIamV1TestIamPermissionsResponse{}} on success {:error, info} on failure
ml_projects_models_versions_create(connection, projects_id, models_id, optional_params \\ [], opts \\ []) View Source
Creates a new version of a model from a trained TensorFlow model. If the version created in the cloud by this call is the first deployed version of the specified model, it will be made the default version of the model. When you add a version to a model that already has one or more versions, the default version does not automatically change. If you want a new version to be the default, you must call projects.models.versions.setDefault.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `parent`. Required. The name of the model.
- models_id (String.t): Part of `parent`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): 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.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): 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.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
- :body (GoogleCloudMlV1Version):
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleLongrunningOperation{}} on success {:error, info} on failure
ml_projects_models_versions_delete(connection, projects_id, models_id, versions_id, optional_params \\ [], opts \\ []) View Source
Deletes a model version. Each model can have multiple versions deployed and in use at any given time. Use this method to remove a single version. Note: You cannot delete the version that is set as the default version of the model unless it is the only remaining version.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `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.
- models_id (String.t): Part of `name`. See documentation of `projectsId`.
- versions_id (String.t): Part of `name`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleLongrunningOperation{}} on success {:error, info} on failure
ml_projects_models_versions_get(connection, projects_id, models_id, versions_id, optional_params \\ [], opts \\ []) View Source
Gets information about a model version. Models can have multiple versions. You can call projects.models.versions.list to get the same information that this method returns for all of the versions of a model.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `name`. Required. The name of the version.
- models_id (String.t): Part of `name`. See documentation of `projectsId`.
- versions_id (String.t): Part of `name`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): 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.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): 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.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1Version{}} on success {:error, info} on failure
ml_projects_models_versions_list(connection, projects_id, models_id, optional_params \\ [], opts \\ []) View Source
Gets basic information about all the versions of a model. If you expect that a model has many versions, or if you need to handle only a limited number of results at a time, you can request that the list be retrieved in batches (called pages). If there are no versions that match the request parameters, the list request returns an empty response body: {}.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `parent`. Required. The name of the model for which to list the version.
- models_id (String.t): Part of `parent`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): 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.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): 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.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
- :filter (String.t): Optional. Specifies the subset of versions to retrieve.
- :pageSize (integer()): Optional. The number of versions to retrieve per "page" of results. If there are more remaining results than this number, the response message will contain a valid value in the `next_page_token` field. The default value is 20, and the maximum page size is 100.
- :pageToken (String.t): 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 the previous call.
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1ListVersionsResponse{}} on success {:error, info} on failure
ml_projects_models_versions_patch(connection, projects_id, models_id, versions_id, optional_params \\ [], opts \\ []) View Source
Updates the specified Version resource. Currently the only update-able fields are `description` and `autoScaling.minNodes`.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `name`. Required. The name of the model.
- models_id (String.t): Part of `name`. See documentation of `projectsId`.
- versions_id (String.t): Part of `name`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): 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.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): 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.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
- :updateMask (String.t): Required. Specifies the path, relative to `Version`, of the field to update. Must be present and non-empty. For example, to change the description of a version to "foo", the `update_mask` parameter would be specified as `description`, and the `PATCH` request body would specify the new value, as follows: { "description": "foo" } Currently the only supported update mask fields are `description` and `autoScaling.minNodes`.
- :body (GoogleCloudMlV1Version):
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleLongrunningOperation{}} on success {:error, info} on failure
ml_projects_models_versions_set_default(connection, projects_id, models_id, versions_id, optional_params \\ [], opts \\ []) View Source
Designates a version to be the default for the model. The default version is used for prediction requests made against the model that don't specify a version. The first version to be created for a model is automatically set as the default. You must make any subsequent changes to the default version setting manually using this method.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `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.
- models_id (String.t): Part of `name`. See documentation of `projectsId`.
- versions_id (String.t): Part of `name`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): 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.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): 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.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
- :body (GoogleCloudMlV1SetDefaultVersionRequest):
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1Version{}} on success {:error, info} on failure
ml_projects_operations_cancel(connection, projects_id, operations_id, optional_params \\ [], opts \\ []) View Source
Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of 1, corresponding to `Code.CANCELLED`.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `name`. The name of the operation resource to be cancelled.
- operations_id (String.t): Part of `name`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): 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.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): 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.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleProtobufEmpty{}} on success {:error, info} on failure
ml_projects_operations_get(connection, projects_id, operations_id, optional_params \\ [], opts \\ []) View Source
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `name`. The name of the operation resource.
- operations_id (String.t): Part of `name`. See documentation of `projectsId`.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleLongrunningOperation{}} on success {:error, info} on failure
ml_projects_operations_list(connection, projects_id, optional_params \\ [], opts \\ []) View Source
Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`. NOTE: the `name` binding allows API services to override the binding to use different resource name schemes, such as `users//operations`. To override the binding, API services can add a binding such as `"/v1/{name=users/}/operations"` to their service configuration. For backwards compatibility, the default name includes the operations collection id, however overriding users must ensure the name binding is the parent resource, without the operations collection id.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `name`. The name of the operation's parent resource.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): 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.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): 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.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
- :filter (String.t): The standard list filter.
- :pageSize (integer()): The standard list page size.
- :pageToken (String.t): The standard list page token.
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleLongrunningListOperationsResponse{}} on success {:error, info} on failure
ml_projects_predict(connection, projects_id, optional_params \\ [], opts \\ []) View Source
Performs prediction on the data in the request. AI Platform implements a custom `predict` verb on top of an HTTP POST method. <p>For details of the request and response format, see the guide to the predict request format.
Parameters
- connection (GoogleApi.MachineLearning.V1.Connection): Connection to server
- projects_id (String.t): Part of `name`. Required. The resource name of a model or a version. Authorization: requires the `predict` permission on the specified resource.
optional_params (KeywordList): [optional] Optional parameters
- :$.xgafv (String.t): V1 error format.
- :access_token (String.t): OAuth access token.
- :alt (String.t): Data format for response.
- :callback (String.t): JSONP
- :fields (String.t): Selector specifying which fields to include in a partial response.
- :key (String.t): 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.
- :oauth_token (String.t): OAuth 2.0 token for the current user.
- :prettyPrint (boolean()): Returns response with indentations and line breaks.
- :quotaUser (String.t): 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.
- :upload_protocol (String.t): Upload protocol for media (e.g. "raw", "multipart").
- :uploadType (String.t): Legacy upload protocol for media (e.g. "media", "multipart").
- :body (GoogleCloudMlV1PredictRequest):
Returns
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleApiHttpBody{}} on success {:error, info} on failure