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startFlow

OnInit
./lib/triggers/startFlow.js
OnStartup
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OnClose
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Attributes

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ml_projects_models_versions_delete

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.

OnInit
./lib/actions/ml_projects_models_versions_delete.js
OnStartup
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OnClose
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Attributes

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ml_projects_jobs_get

Describes a job.

OnInit
./lib/actions/ml_projects_jobs_get.js
OnStartup
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OnClose
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Attributes

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ml_projects_jobs_patch

Updates a specific job resource. Currently the only supported fields to update are `labels`.

OnInit
./lib/actions/ml_projects_jobs_patch.js
OnStartup
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OnClose
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Attributes

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ml_projects_operations_list

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.

OnInit
./lib/actions/ml_projects_operations_list.js
OnStartup
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OnClose
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Attributes

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ml_projects_jobs_cancel

Cancels a running job.

OnInit
./lib/actions/ml_projects_jobs_cancel.js
OnStartup
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OnClose
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Attributes

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ml_projects_getConfig

Get the service account information associated with your project. You need this information in order to grant the service account persmissions for the Google Cloud Storage location where you put your model training code for training the model with Google Cloud Machine Learning.

OnInit
./lib/actions/ml_projects_getConfig.js
OnStartup
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OnClose
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Attributes

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ml_projects_predict

Performs prediction on the data in the request. Cloud ML Engine implements a custom `predict` verb on top of an HTTP POST method. For details of the format, see the **guide to the [predict request format](/ml-engine/docs/v1/predict-request)**.

OnInit
./lib/actions/ml_projects_predict.js
OnStartup
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OnClose
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Attributes

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ml_projects_models_versions_setDefault

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.

OnInit
./lib/actions/ml_projects_models_versions_setDefault.js
OnStartup
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OnClose
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Attributes

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ml_projects_jobs_list

Lists the jobs in the project.

OnInit
./lib/actions/ml_projects_jobs_list.js
OnStartup
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OnClose
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Attributes

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ml_projects_jobs_create

Creates a training or a batch prediction job.

OnInit
./lib/actions/ml_projects_jobs_create.js
OnStartup
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OnClose
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Attributes

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ml_projects_locations_list

List all locations that provides at least one type of CMLE capability.

OnInit
./lib/actions/ml_projects_locations_list.js
OnStartup
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OnClose
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Attributes

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ml_projects_models_list

Lists the models in a project. Each project can contain multiple models, and each model can have multiple versions.

OnInit
./lib/actions/ml_projects_models_list.js
OnStartup
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OnClose
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Attributes

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ml_projects_models_create

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](/ml-engine/reference/rest/v1/projects.models.versions/create).

OnInit
./lib/actions/ml_projects_models_create.js
OnStartup
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OnClose
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Attributes

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ml_projects_models_versions_list

Gets basic information about all the versions of a model. If you expect that a model has a lot of 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):

OnInit
./lib/actions/ml_projects_models_versions_list.js
OnStartup
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OnClose
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Attributes

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ml_projects_models_versions_create

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](/ml-engine/reference/rest/v1/projects.models.versions/setDefault).

OnInit
./lib/actions/ml_projects_models_versions_create.js
OnStartup
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OnClose
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Attributes

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ml_projects_jobs_getIamPolicy

Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.

OnInit
./lib/actions/ml_projects_jobs_getIamPolicy.js
OnStartup
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OnClose
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Attributes

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ml_projects_jobs_setIamPolicy

Sets the access control policy on the specified resource. Replaces any existing policy.

OnInit
./lib/actions/ml_projects_jobs_setIamPolicy.js
OnStartup
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OnClose
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Attributes

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ml_projects_jobs_testIamPermissions

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.

OnInit
./lib/actions/ml_projects_jobs_testIamPermissions.js
OnStartup
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OnClose
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Attributes

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Keine Daten für terms vorhanden

OAUTH_CLIENT_ID

OAuth Client ID

type
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required
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example
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OAUTH_CLIENT_SECRET

OAuth Client Secret

type
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required
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example
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