Class v1.JobServiceClient (2.6.1)

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the BatchPredictionJob to cancel.
   *  Format:
   *  `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {JobServiceClient} = require('@google-cloud/aiplatform').v1;

  // Instantiates a client
  const aiplatformClient = new JobServiceClient();

  async function callCancelBatchPredictionJob() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const response = await aiplatformClient.cancelBatchPredictionJob(request);
    console.log(response);
  }

  callCancelBatchPredictionJob();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the CustomJob to cancel.
   *  Format:
   *  `projects/{project}/locations/{location}/customJobs/{custom_job}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {JobServiceClient} = require('@google-cloud/aiplatform').v1;

  // Instantiates a client
  const aiplatformClient = new JobServiceClient();

  async function callCancelCustomJob() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const response = await aiplatformClient.cancelCustomJob(request);
    console.log(response);
  }

  callCancelCustomJob();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the DataLabelingJob.
   *  Format:
   *  `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {JobServiceClient} = require('@google-cloud/aiplatform').v1;

  // Instantiates a client
  const aiplatformClient = new JobServiceClient();

  async function callCancelDataLabelingJob() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const response = await aiplatformClient.cancelDataLabelingJob(request);
    console.log(response);
  }

  callCancelDataLabelingJob();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the HyperparameterTuningJob to cancel.
   *  Format:
   *  `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {JobServiceClient} = require('@google-cloud/aiplatform').v1;

  // Instantiates a client
  const aiplatformClient = new JobServiceClient();

  async function callCancelHyperparameterTuningJob() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const response = await aiplatformClient.cancelHyperparameterTuningJob(request);
    console.log(response);
  }

  callCancelHyperparameterTuningJob();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the NasJob to cancel.
   *  Format:
   *  `projects/{project}/locations/{location}/nasJobs/{nas_job}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {JobServiceClient} = require('@google-cloud/aiplatform').v1;

  // Instantiates a client
  const aiplatformClient = new JobServiceClient();

  async function callCancelNasJob() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const response = await aiplatformClient.cancelNasJob(request);
    console.log(response);
  }

  callCancelNasJob();

const client = longrunning.operationsClient();
await client.cancelOperation({name: ''});

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the BatchPredictionJob resource to be deleted.
   *  Format:
   *  `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {JobServiceClient} = require('@google-cloud/aiplatform').v1;

  // Instantiates a client
  const aiplatformClient = new JobServiceClient();

  async function callDeleteBatchPredictionJob() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const [operation] = await aiplatformClient.deleteBatchPredictionJob(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callDeleteBatchPredictionJob();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the CustomJob resource to be deleted.
   *  Format:
   *  `projects/{project}/locations/{location}/customJobs/{custom_job}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {JobServiceClient} = require('@google-cloud/aiplatform').v1;

  // Instantiates a client
  const aiplatformClient = new JobServiceClient();

  async function callDeleteCustomJob() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const [operation] = await aiplatformClient.deleteCustomJob(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callDeleteCustomJob();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the DataLabelingJob to be deleted.
   *  Format:
   *  `projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {JobServiceClient} = require('@google-cloud/aiplatform').v1;

  // Instantiates a client
  const aiplatformClient = new JobServiceClient();

  async function callDeleteDataLabelingJob() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const [operation] = await aiplatformClient.deleteDataLabelingJob(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callDeleteDataLabelingJob();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the HyperparameterTuningJob resource to be deleted.
   *  Format:
   *  `projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {JobServiceClient} = require('@google-cloud/aiplatform').v1;

  // Instantiates a client
  const aiplatformClient = new JobServiceClient();

  async function callDeleteHyperparameterTuningJob() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const [operation] = await aiplatformClient.deleteHyperparameterTuningJob(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callDeleteHyperparameterTuningJob();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The resource name of the model monitoring job to delete.
   *  Format:
   *  `projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {JobServiceClient} = require('@google-cloud/aiplatform').v1;

  // Instantiates a client
  const aiplatformClient = new JobServiceClient();

  async function callDeleteModelDeploymentMonitoringJob() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const [operation] = await aiplatformClient.deleteModelDeploymentMonitoringJob(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callDeleteModelDeploymentMonitoringJob();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the NasJob resource to be deleted.
   *  Format:
   *  `projects/{project}/locations/{location}/nasJobs/{nas_job}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {JobServiceClient} = require('@google-cloud/aiplatform').v1;

  // Instantiates a client
  const aiplatformClient = new JobServiceClient();

  async function callDeleteNasJob() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const [operation] = await aiplatformClient.deleteNasJob(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callDeleteNasJob();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The model monitoring configuration which replaces the resource on
   *  the server.
   */
  // const modelDeploymentMonitoringJob = {}
  /**
   *  Required. The update mask is used to specify the fields to be overwritten
   *  in the ModelDeploymentMonitoringJob resource by the update. The fields
   *  specified in the update_mask are relative to the resource, not the full
   *  request. A field will be overwritten if it is in the mask. If the user does
   *  not provide a mask then only the non-empty fields present in the request
   *  will be overwritten. Set the update_mask to `*` to override all fields. For
   *  the objective config, the user can either provide the update mask for
   *  model_deployment_monitoring_objective_configs or any combination of its
   *  nested fields, such as:
   *  model_deployment_monitoring_objective_configs.objective_config.training_dataset.
   *  Updatable fields:
   *    * `display_name`
   *    * `model_deployment_monitoring_schedule_config`
   *    * `model_monitoring_alert_config`
   *    * `logging_sampling_strategy`
   *    * `labels`
   *    * `log_ttl`
   *    * `enable_monitoring_pipeline_logs`
   *  .  and
   *    * `model_deployment_monitoring_objective_configs`
   *  .  or
   *    * `model_deployment_monitoring_objective_configs.objective_config.training_dataset`
   *    * `model_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_config`
   *    * `model_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config`
   */
  // const updateMask = {}

  // Imports the Aiplatform library
  const {JobServiceClient} = require('@google-cloud/aiplatform').v1;

  // Instantiates a client
  const aiplatformClient = new JobServiceClient();

  async function callUpdateModelDeploymentMonitoringJob() {
    // Construct request
    const request = {
      modelDeploymentMonitoringJob,
      updateMask,
    };

    // Run request
    const [operation] = await aiplatformClient.updateModelDeploymentMonitoringJob(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callUpdateModelDeploymentMonitoringJob();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The resource name of the Location to create the
   *  BatchPredictionJob in. Format: `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The BatchPredictionJob to create.
   */
  // const batchPredictionJob = {}

  // Imports the Aiplatform library
  const {JobServiceClient} = require('@google-cloud/aiplatform').v1;

  // Instantiates a client
  const aiplatformClient = new JobServiceClient();

  async function callCreateBatchPredictionJob() {
    // Construct request
    const request = {
      parent,
      batchPredictionJob,
    };

    // Run request
    const response = await aiplatformClient.createBatchPredictionJob(request);
    console.log(response);
  }

  callCreateBatchPredictionJob();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The resource name of the Location to create the CustomJob in.
   *  Format: `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The CustomJob to create.
   */
  // const customJob = {}

  // Imports the Aiplatform library
  const {JobServiceClient} = require('@google-cloud/aiplatform').v1;

  // Instantiates a client
  const aiplatformClient = new JobServiceClient();

  async function callCreateCustomJob() {
    // Construct request
    const request = {
      parent,
      customJob,
    };

    // Run request
    const response = await aiplatformClient.createCustomJob(request);
    console.log(response);
  }

  callCreateCustomJob();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The parent of the DataLabelingJob.
   *  Format: `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The DataLabelingJob to create.
   */
  // const dataLabelingJob = {}

  // Imports the Aiplatform library
  const {JobServiceClient} = require('@google-cloud/aiplatform').v1;

  // Instantiates a client
  const aiplatformClient = new JobServiceClient();

  async function callCreateDataLabelingJob() {
    // Construct request
    const request = {
      parent,
      dataLabelingJob,
    };

    // Run request
    const response = await aiplatformClient.createDataLabelingJob(request);
    console.log(response);
  }

  callCreateDataLabelingJob();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The resource name of the Location to create the
   *  HyperparameterTuningJob in. Format:
   *  `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The HyperparameterTuningJob to create.
   */
  // const hyperparameterTuningJob = {}

  // Imports the Aiplatform library
  const {JobServiceClient} = require('@google-cloud/aiplatform').v1;

  // Instantiates a client
  const aiplatformClient = new JobServiceClient();

  async function callCreateHyperparameterTuningJob() {
    // Construct request
    const request = {
      parent,
      hyperparameterTuningJob,
    };

    // Run request
    const response = await aiplatformClient.createHyperparameterTuningJob(request);
    console.log(response);
  }

  callCreateHyperparameterTuningJob();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The parent of the ModelDeploymentMonitoringJob.
   *  Format: `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The ModelDeploymentMonitoringJob to create
   */
  // const modelDeploymentMonitoringJob = {}

  // Imports the Aiplatform library
  const {JobServiceClient} = require('@google-cloud/aiplatform').v1;

  // Instantiates a client
  const aiplatformClient = new JobServiceClient();

  async function callCreateModelDeploymentMonitoringJob() {
    // Construct request
    const request = {
      parent,
      modelDeploymentMonitoringJob,
    };

    // Run request
    const response = await aiplatformClient.createModelDeploymentMonitoringJob(request);
    console.log(response);
  }

  callCreateModelDeploymentMonitoringJob();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The resource name of the Location to create the NasJob in.
   *  Format: `projects/{project}/locations/{location}`
   */
  // const parent = 'abc123'
  /**
   *  Required. The NasJob to create.
   */
  // const nasJob = {}

  // Imports the Aiplatform library
  const {JobServiceClient} = require('@google-cloud/aiplatform').v1;

  // Instantiates a client
  const aiplatformClient = new JobServiceClient();

  async function callCreateNasJob() {
    // Construct request
    const request = {
      parent,
      nasJob,
    };

    // Run request
    const response = await aiplatformClient.createNasJob(request);
    console.log(response);
  }

  callCreateNasJob();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. The name of the BatchPredictionJob resource to be deleted.
   *  Format:
   *  `projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}`
   */
  // const name = 'abc123'

  // Imports the Aiplatform library
  const {JobServiceClient} = require('@google-cloud/aiplatform').v1;

  // Instantiates a client
  const aiplatformClient = new JobServiceClient();

  async function callDeleteBatchPredictionJob() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const [operation] = await aiplatformClient.deleteBatchPredictionJob(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callDeleteBatchPredictionJob();