happygapi.ml.projects — happygapi 0.4.8

AI Platform Training & Prediction API: projects. An API to enable creating and using machine learning models. See: https://cloud.google.com/ml/api/reference/rest/v1/projects

explain$ clj

(explain$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/explain

Required parameters: name

Optional parameters: none

Body:

{:httpBody {:data string, :extensions [{}], :contentType string}}

Performs explanation on the data in the request. {% dynamic include "/ai-platform/includes/___explain-request" %}

getConfig$ clj

(getConfig$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/getConfig

Required parameters: name

Optional parameters: none

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.

jobs-cancel$ clj

(jobs-cancel$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/jobs/cancel

Required parameters: name

Optional parameters: none

Body:

{}

Cancels a running job.

jobs-create$ clj

(jobs-create$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/jobs/create

Required parameters: parent

Optional parameters: none

Body:

{:labels {}, :errorMessage string, :predictionOutput {:outputPath string, :errorCount string, :predictionCount string, :nodeHours number}, :startTime string, :endTime string, :createTime string, :etag string, :state string, :trainingOutput {:hyperparameterMetricTag string, :builtInAlgorithmOutput GoogleCloudMlV1__BuiltInAlgorithmOutput, :isBuiltInAlgorithmJob boolean, :trials [GoogleCloudMlV1__HyperparameterOutput], :isHyperparameterTuningJob boolean, :completedTrialCount string, :webAccessUris {}, :consumedMLUnits number}, :trainingInput {:args [string], :serviceAccount string, :useChiefInTfConfig boolean, :enableWebAccess boolean, :parameterServerType string, :workerType string, :scheduling GoogleCloudMlV1__Scheduling, :workerCount string, :evaluatorType string, :hyperparameters GoogleCloudMlV1__HyperparameterSpec, :workerConfig GoogleCloudMlV1__ReplicaConfig, :jobDir string, :evaluatorCount string, :pythonVersion string, :packageUris [string], :region string, :masterConfig GoogleCloudMlV1__ReplicaConfig, :scaleTier string, :runtimeVersion string, :parameterServerCount string, :evaluatorConfig GoogleCloudMlV1__ReplicaConfig, :pythonModule string, :network string, :encryptionConfig GoogleCloudMlV1__EncryptionConfig, :parameterServerConfig GoogleCloudMlV1__ReplicaConfig, :masterType string}, :predictionInput {:outputPath string, :inputPaths [string], :versionName string, :modelName string, :region string, :outputDataFormat string, :runtimeVersion string, :batchSize string, :uri string, :signatureName string, :maxWorkerCount string, :dataFormat string}, :jobId string}

Creates a training or a batch prediction job.

jobs-get$ clj

(jobs-get$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/jobs/get

Required parameters: name

Optional parameters: none

Describes a job.

jobs-getIamPolicy$ clj

(jobs-getIamPolicy$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/jobs/getIamPolicy

Required parameters: resource

Optional parameters: options.requestedPolicyVersion

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

jobs-list$ clj

(jobs-list$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/jobs/list

Required parameters: parent

Optional parameters: pageToken, pageSize, filter

Lists the jobs in the project. If there are no jobs that match the request parameters, the list request returns an empty response body: {}.

jobs-patch$ clj

(jobs-patch$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/jobs/patch

Required parameters: name

Optional parameters: updateMask

Body:

{:labels {}, :errorMessage string, :predictionOutput {:outputPath string, :errorCount string, :predictionCount string, :nodeHours number}, :startTime string, :endTime string, :createTime string, :etag string, :state string, :trainingOutput {:hyperparameterMetricTag string, :builtInAlgorithmOutput GoogleCloudMlV1__BuiltInAlgorithmOutput, :isBuiltInAlgorithmJob boolean, :trials [GoogleCloudMlV1__HyperparameterOutput], :isHyperparameterTuningJob boolean, :completedTrialCount string, :webAccessUris {}, :consumedMLUnits number}, :trainingInput {:args [string], :serviceAccount string, :useChiefInTfConfig boolean, :enableWebAccess boolean, :parameterServerType string, :workerType string, :scheduling GoogleCloudMlV1__Scheduling, :workerCount string, :evaluatorType string, :hyperparameters GoogleCloudMlV1__HyperparameterSpec, :workerConfig GoogleCloudMlV1__ReplicaConfig, :jobDir string, :evaluatorCount string, :pythonVersion string, :packageUris [string], :region string, :masterConfig GoogleCloudMlV1__ReplicaConfig, :scaleTier string, :runtimeVersion string, :parameterServerCount string, :evaluatorConfig GoogleCloudMlV1__ReplicaConfig, :pythonModule string, :network string, :encryptionConfig GoogleCloudMlV1__EncryptionConfig, :parameterServerConfig GoogleCloudMlV1__ReplicaConfig, :masterType string}, :predictionInput {:outputPath string, :inputPaths [string], :versionName string, :modelName string, :region string, :outputDataFormat string, :runtimeVersion string, :batchSize string, :uri string, :signatureName string, :maxWorkerCount string, :dataFormat string}, :jobId string}

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

jobs-setIamPolicy$ clj

(jobs-setIamPolicy$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/jobs/setIamPolicy

Required parameters: resource

Optional parameters: none

Body:

{:updateMask string, :policy {:etag string, :bindings [GoogleIamV1__Binding], :version integer, :auditConfigs [GoogleIamV1__AuditConfig]}}

Sets the access control policy on the specified resource. Replaces any existing policy. Can return NOT_FOUND, INVALID_ARGUMENT, and PERMISSION_DENIED errors.

jobs-testIamPermissions$ clj

(jobs-testIamPermissions$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/jobs/testIamPermissions

Required parameters: resource

Optional parameters: none

Body:

{:permissions [string]}

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.

locations-get$ clj

(locations-get$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/locations/get

Required parameters: name

Optional parameters: none

Get the complete list of CMLE capabilities in a location, along with their location-specific properties.

locations-list$ clj

(locations-list$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/locations/list

Required parameters: parent

Optional parameters: pageSize, pageToken

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

locations-operations-cancel$ clj

(locations-operations-cancel$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/locations/operations/cancel

Required parameters: name

Optional parameters: none

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.

locations-operations-get$ clj

(locations-operations-get$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/locations/operations/get

Required parameters: name

Optional parameters: none

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.

locations-studies-create$ clj

(locations-studies-create$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/locations/studies/create

Required parameters: parent

Optional parameters: studyId

Body:

{:name string, :inactiveReason string, :state string, :studyConfig {:parameters [GoogleCloudMlV1_StudyConfig_ParameterSpec], :metrics [GoogleCloudMlV1_StudyConfig_MetricSpec], :algorithm string, :automatedStoppingConfig GoogleCloudMlV1__AutomatedStoppingConfig}, :createTime string}

Creates a study.

locations-studies-delete$ clj

(locations-studies-delete$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/locations/studies/delete

Required parameters: name

Optional parameters: none

Deletes a study.

locations-studies-get$ clj

(locations-studies-get$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/locations/studies/get

Required parameters: name

Optional parameters: none

Gets a study.

locations-studies-list$ clj

(locations-studies-list$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/locations/studies/list

Required parameters: parent

Optional parameters: none

Lists all the studies in a region for an associated project.

locations-studies-trials-addMeasurement$ clj

(locations-studies-trials-addMeasurement$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/locations/studies/trials/addMeasurement

Required parameters: name

Optional parameters: none

Body:

{:measurement {:metrics [GoogleCloudMlV1_Measurement_Metric], :elapsedTime string, :stepCount string}}

Adds a measurement of the objective metrics to a trial. This measurement is assumed to have been taken before the trial is complete.

locations-studies-trials-checkEarlyStoppingState$ clj

(locations-studies-trials-checkEarlyStoppingState$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/locations/studies/trials/checkEarlyStoppingState

Required parameters: name

Optional parameters: none

Body:

{}

Checks whether a trial should stop or not. Returns a long-running operation. When the operation is successful, it will contain a CheckTrialEarlyStoppingStateResponse.

locations-studies-trials-complete$ clj

(locations-studies-trials-complete$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/locations/studies/trials/complete

Required parameters: name

Optional parameters: none

Body:

{:finalMeasurement {:metrics [GoogleCloudMlV1_Measurement_Metric], :elapsedTime string, :stepCount string}, :trialInfeasible boolean, :infeasibleReason string}

Marks a trial as complete.

locations-studies-trials-create$ clj

(locations-studies-trials-create$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/locations/studies/trials/create

Required parameters: parent

Optional parameters: none

Body:

{:clientId string, :startTime string, :measurements [{:metrics [GoogleCloudMlV1_Measurement_Metric], :elapsedTime string, :stepCount string}], :name string, :endTime string, :state string, :finalMeasurement {:metrics [GoogleCloudMlV1_Measurement_Metric], :elapsedTime string, :stepCount string}, :infeasibleReason string, :trialInfeasible boolean, :parameters [{:stringValue string, :intValue string, :parameter string, :floatValue number}]}

Adds a user provided trial to a study.

locations-studies-trials-delete$ clj

(locations-studies-trials-delete$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/locations/studies/trials/delete

Required parameters: name

Optional parameters: none

Deletes a trial.

locations-studies-trials-get$ clj

(locations-studies-trials-get$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/locations/studies/trials/get

Required parameters: name

Optional parameters: none

Gets a trial.

locations-studies-trials-list$ clj

(locations-studies-trials-list$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/locations/studies/trials/list

Required parameters: parent

Optional parameters: none

Lists the trials associated with a study.

locations-studies-trials-listOptimalTrials$ clj

(locations-studies-trials-listOptimalTrials$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/locations/studies/trials/listOptimalTrials

Required parameters: parent

Optional parameters: none

Body:

{}

Lists the pareto-optimal trials for multi-objective study or the optimal trials for single-objective study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency

locations-studies-trials-stop$ clj

(locations-studies-trials-stop$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/locations/studies/trials/stop

Required parameters: name

Optional parameters: none

Body:

{}

Stops a trial.

locations-studies-trials-suggest$ clj

(locations-studies-trials-suggest$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/locations/studies/trials/suggest

Required parameters: parent

Optional parameters: none

Body:

{:clientId string, :suggestionCount integer}

Adds one or more trials to a study, with parameter values suggested by AI Platform Vizier. Returns a long-running operation associated with the generation of trial suggestions. When this long-running operation succeeds, it will contain a SuggestTrialsResponse.

models-create$ clj

(models-create$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/models/create

Required parameters: parent

Optional parameters: none

Body:

{:description string, :name string, :defaultVersion {:description string, :serviceAccount string, :labels {}, :explanationConfig GoogleCloudMlV1__ExplanationConfig, :routes GoogleCloudMlV1__RouteMap, :autoScaling GoogleCloudMlV1__AutoScaling, :lastMigrationModelId string, :lastMigrationTime string, :isDefault boolean, :errorMessage string, :lastUseTime string, :name string, :createTime string, :deploymentUri string, :etag string, :state string, :machineType string, :pythonVersion string, :packageUris [string], :acceleratorConfig GoogleCloudMlV1__AcceleratorConfig, :runtimeVersion string, :manualScaling GoogleCloudMlV1__ManualScaling, :container GoogleCloudMlV1__ContainerSpec, :predictionClass string, :framework string, :requestLoggingConfig GoogleCloudMlV1__RequestLoggingConfig}, :onlinePredictionConsoleLogging boolean, :labels {}, :etag string, :onlinePredictionLogging boolean, :regions [string]}

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.

models-delete$ clj

(models-delete$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/models/delete

Required parameters: name

Optional parameters: none

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.

models-get$ clj

(models-get$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/models/get

Required parameters: name

Optional parameters: none

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).

models-getIamPolicy$ clj

(models-getIamPolicy$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/models/getIamPolicy

Required parameters: resource

Optional parameters: options.requestedPolicyVersion

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

models-list$ clj

(models-list$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/models/list

Required parameters: parent

Optional parameters: filter, pageToken, pageSize

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: {}.

models-patch$ clj

(models-patch$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/models/patch

Required parameters: name

Optional parameters: updateMask

Body:

{:description string, :name string, :defaultVersion {:description string, :serviceAccount string, :labels {}, :explanationConfig GoogleCloudMlV1__ExplanationConfig, :routes GoogleCloudMlV1__RouteMap, :autoScaling GoogleCloudMlV1__AutoScaling, :lastMigrationModelId string, :lastMigrationTime string, :isDefault boolean, :errorMessage string, :lastUseTime string, :name string, :createTime string, :deploymentUri string, :etag string, :state string, :machineType string, :pythonVersion string, :packageUris [string], :acceleratorConfig GoogleCloudMlV1__AcceleratorConfig, :runtimeVersion string, :manualScaling GoogleCloudMlV1__ManualScaling, :container GoogleCloudMlV1__ContainerSpec, :predictionClass string, :framework string, :requestLoggingConfig GoogleCloudMlV1__RequestLoggingConfig}, :onlinePredictionConsoleLogging boolean, :labels {}, :etag string, :onlinePredictionLogging boolean, :regions [string]}

Updates a specific model resource. Currently the only supported fields to update are description and default_version.name.

models-setIamPolicy$ clj

(models-setIamPolicy$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/models/setIamPolicy

Required parameters: resource

Optional parameters: none

Body:

{:updateMask string, :policy {:etag string, :bindings [GoogleIamV1__Binding], :version integer, :auditConfigs [GoogleIamV1__AuditConfig]}}

Sets the access control policy on the specified resource. Replaces any existing policy. Can return NOT_FOUND, INVALID_ARGUMENT, and PERMISSION_DENIED errors.

models-testIamPermissions$ clj

(models-testIamPermissions$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/models/testIamPermissions

Required parameters: resource

Optional parameters: none

Body:

{:permissions [string]}

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.

models-versions-create$ clj

(models-versions-create$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/models/versions/create

Required parameters: parent

Optional parameters: none

Body:

{:description string, :serviceAccount string, :labels {}, :explanationConfig {:sampledShapleyAttribution GoogleCloudMlV1__SampledShapleyAttribution, :xraiAttribution GoogleCloudMlV1__XraiAttribution, :integratedGradientsAttribution GoogleCloudMlV1__IntegratedGradientsAttribution}, :routes {:health string, :predict string}, :autoScaling {:metrics [GoogleCloudMlV1__MetricSpec], :maxNodes integer, :minNodes integer}, :lastMigrationModelId string, :lastMigrationTime string, :isDefault boolean, :errorMessage string, :lastUseTime string, :name string, :createTime string, :deploymentUri string, :etag string, :state string, :machineType string, :pythonVersion string, :packageUris [string], :acceleratorConfig {:type string, :count string}, :runtimeVersion string, :manualScaling {:nodes integer}, :container {:image string, :env [GoogleCloudMlV1__EnvVar], :command [string], :ports [GoogleCloudMlV1__ContainerPort], :args [string]}, :predictionClass string, :framework string, :requestLoggingConfig {:samplingPercentage number, :bigqueryTableName string}}

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.

models-versions-delete$ clj

(models-versions-delete$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/models/versions/delete

Required parameters: name

Optional parameters: none

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.

models-versions-get$ clj

(models-versions-get$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/models/versions/get

Required parameters: name

Optional parameters: none

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.

models-versions-list$ clj

(models-versions-list$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/models/versions/list

Required parameters: parent

Optional parameters: filter, pageToken, pageSize

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: {}.

models-versions-patch$ clj

(models-versions-patch$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/models/versions/patch

Required parameters: name

Optional parameters: updateMask

Body:

{:description string, :serviceAccount string, :labels {}, :explanationConfig {:sampledShapleyAttribution GoogleCloudMlV1__SampledShapleyAttribution, :xraiAttribution GoogleCloudMlV1__XraiAttribution, :integratedGradientsAttribution GoogleCloudMlV1__IntegratedGradientsAttribution}, :routes {:health string, :predict string}, :autoScaling {:metrics [GoogleCloudMlV1__MetricSpec], :maxNodes integer, :minNodes integer}, :lastMigrationModelId string, :lastMigrationTime string, :isDefault boolean, :errorMessage string, :lastUseTime string, :name string, :createTime string, :deploymentUri string, :etag string, :state string, :machineType string, :pythonVersion string, :packageUris [string], :acceleratorConfig {:type string, :count string}, :runtimeVersion string, :manualScaling {:nodes integer}, :container {:image string, :env [GoogleCloudMlV1__EnvVar], :command [string], :ports [GoogleCloudMlV1__ContainerPort], :args [string]}, :predictionClass string, :framework string, :requestLoggingConfig {:samplingPercentage number, :bigqueryTableName string}}

Updates the specified Version resource. Currently the only update-able fields are description, requestLoggingConfig, autoScaling.minNodes, and manualScaling.nodes.

models-versions-setDefault$ clj

(models-versions-setDefault$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/models/versions/setDefault

Required parameters: name

Optional parameters: none

Body:

{}

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.

operations-cancel$ clj

(operations-cancel$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/operations/cancel

Required parameters: name

Optional parameters: none

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.

operations-get$ clj

(operations-get$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/operations/get

Required parameters: name

Optional parameters: none

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.

operations-list$ clj

(operations-list$ auth parameters)

https://cloud.google.com/ml/api/reference/rest/v1/projects/operations/list

Required parameters: name

Optional parameters: filter, pageSize, pageToken

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.

predict$ clj

(predict$ auth parameters body)

https://cloud.google.com/ml/api/reference/rest/v1/projects/predict

Required parameters: name

Optional parameters: none

Body:

{:httpBody {:data string, :extensions [{}], :contentType string}}

Performs online prediction on the data in the request. {% dynamic include "/ai-platform/includes/___predict-request" %}