Class v1beta1.AutoMlClient (4.0.1)

Package

Constructors

(constructor)(opts, gaxInstance)

constructor(opts?: ClientOptions, gaxInstance?: typeof gax | typeof gax.fallback);

Properties

apiEndpoint

static get apiEndpoint(): string;

auth

auth: gax.GoogleAuth;

autoMlStub

autoMlStub?: Promise<{
        [name: string]: Function;
    }>;

descriptors

descriptors: Descriptors;

innerApiCalls

innerApiCalls: {
        [name: string]: Function;
    };

operationsClient

operationsClient: gax.OperationsClient;

pathTemplates

pathTemplates: {
        [name: string]: gax.PathTemplate;
    };

port

static get port(): number;

scopes

static get scopes(): string[];

servicePath

static get servicePath(): string;

warn

warn: (code: string, message: string, warnType?: string) => void;

Methods

annotationSpecPath(project, location, dataset, annotationSpec)

annotationSpecPath(project: string, location: string, dataset: string, annotationSpec: string): string;

checkCreateModelProgress(name)

checkCreateModelProgress(name: string): Promise<LROperation<protos.google.cloud.automl.v1beta1.Model, protos.google.cloud.automl.v1beta1.OperationMetadata>>;

  /**
   * 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. Resource name of the parent project where the model is being created.
   */
  // const parent = 'abc123'
  /**
   *  Required. The model to create.
   */
  // const model = {}

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

  async function callCreateModel() {
    // Construct request
    const request = {
      parent,
      model,
    };

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

  callCreateModel();

checkDeleteDatasetProgress(name)

checkDeleteDatasetProgress(name: string): Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.automl.v1beta1.OperationMetadata>>;

  /**
   * 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 dataset to delete.
   */
  // const name = 'abc123'

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

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

  callDeleteDataset();

checkDeleteModelProgress(name)

checkDeleteModelProgress(name: string): Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.automl.v1beta1.OperationMetadata>>;

  /**
   * 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. Resource name of the model being deleted.
   */
  // const name = 'abc123'

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

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

  callDeleteModel();

checkDeployModelProgress(name)

checkDeployModelProgress(name: string): Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.automl.v1beta1.OperationMetadata>>;

  /**
   * 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.
   */
  /**
   *  Model deployment metadata specific to Image Object Detection.
   */
  // const imageObjectDetectionModelDeploymentMetadata = {}
  /**
   *  Model deployment metadata specific to Image Classification.
   */
  // const imageClassificationModelDeploymentMetadata = {}
  /**
   *  Required. Resource name of the model to deploy.
   */
  // const name = 'abc123'

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

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

  callDeployModel();

checkExportDataProgress(name)

checkExportDataProgress(name: string): Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.automl.v1beta1.OperationMetadata>>;

  /**
   * 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 dataset.
   */
  // const name = 'abc123'
  /**
   *  Required. The desired output location.
   */
  // const outputConfig = {}

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

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

  callExportData();

checkExportEvaluatedExamplesProgress(name)

checkExportEvaluatedExamplesProgress(name: string): Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.automl.v1beta1.OperationMetadata>>;

  /**
   * 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 whose evaluated examples are to
   *  be exported.
   */
  // const name = 'abc123'
  /**
   *  Required. The desired output location and configuration.
   */
  // const outputConfig = {}

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

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

  callExportEvaluatedExamples();

checkExportModelProgress(name)

checkExportModelProgress(name: string): Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.automl.v1beta1.OperationMetadata>>;

  /**
   * 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 to export.
   */
  // const name = 'abc123'
  /**
   *  Required. The desired output location and configuration.
   */
  // const outputConfig = {}

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

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

  callExportModel();

checkImportDataProgress(name)

checkImportDataProgress(name: string): Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.automl.v1beta1.OperationMetadata>>;

  /**
   * 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. Dataset name. Dataset must already exist. All imported
   *  annotations and examples will be added.
   */
  // const name = 'abc123'
  /**
   *  Required. The desired input location and its domain specific semantics,
   *  if any.
   */
  // const inputConfig = {}

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

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

  callImportData();

checkUndeployModelProgress(name)

checkUndeployModelProgress(name: string): Promise<LROperation<protos.google.protobuf.Empty, protos.google.cloud.automl.v1beta1.OperationMetadata>>;

  /**
   * 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. Resource name of the model to undeploy.
   */
  // const name = 'abc123'

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

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

  callUndeployModel();

close()

close(): Promise<void>;

columnSpecPath(project, location, dataset, tableSpec, columnSpec)

columnSpecPath(project: string, location: string, dataset: string, tableSpec: string, columnSpec: string): string;

createDataset(request, options)

createDataset(request?: protos.google.cloud.automl.v1beta1.ICreateDatasetRequest, options?: CallOptions): Promise<[
        protos.google.cloud.automl.v1beta1.IDataset,
        protos.google.cloud.automl.v1beta1.ICreateDatasetRequest | undefined,
        {} | undefined
    ]>;

  /**
   * 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 project to create the dataset for.
   */
  // const parent = 'abc123'
  /**
   *  Required. The dataset to create.
   */
  // const dataset = {}

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

  async function callCreateDataset() {
    // Construct request
    const request = {
      parent,
      dataset,
    };

    // Run request
    const response = await automlClient.createDataset(request);
    console.log(response);
  }

  callCreateDataset();

createDataset(request, options, callback)

createDataset(request: protos.google.cloud.automl.v1beta1.ICreateDatasetRequest, options: CallOptions, callback: Callback<protos.google.cloud.automl.v1beta1.IDataset, protos.google.cloud.automl.v1beta1.ICreateDatasetRequest | null | undefined, {} | null | undefined>): void;

createDataset(request, callback)

createDataset(request: protos.google.cloud.automl.v1beta1.ICreateDatasetRequest, callback: Callback<protos.google.cloud.automl.v1beta1.IDataset, protos.google.cloud.automl.v1beta1.ICreateDatasetRequest | null | undefined, {} | null | undefined>): void;

createModel(request, options)

createModel(request?: protos.google.cloud.automl.v1beta1.ICreateModelRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.cloud.automl.v1beta1.IModel, protos.google.cloud.automl.v1beta1.IOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

  /**
   * 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. Resource name of the parent project where the model is being created.
   */
  // const parent = 'abc123'
  /**
   *  Required. The model to create.
   */
  // const model = {}

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

  async function callCreateModel() {
    // Construct request
    const request = {
      parent,
      model,
    };

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

  callCreateModel();

createModel(request, options, callback)

createModel(request: protos.google.cloud.automl.v1beta1.ICreateModelRequest, options: CallOptions, callback: Callback<LROperation<protos.google.cloud.automl.v1beta1.IModel, protos.google.cloud.automl.v1beta1.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

createModel(request, callback)

createModel(request: protos.google.cloud.automl.v1beta1.ICreateModelRequest, callback: Callback<LROperation<protos.google.cloud.automl.v1beta1.IModel, protos.google.cloud.automl.v1beta1.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

datasetPath(project, location, dataset)

datasetPath(project: string, location: string, dataset: string): string;

deleteDataset(request, options)

deleteDataset(request?: protos.google.cloud.automl.v1beta1.IDeleteDatasetRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

  /**
   * 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 dataset to delete.
   */
  // const name = 'abc123'

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

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

  callDeleteDataset();

deleteDataset(request, options, callback)

deleteDataset(request: protos.google.cloud.automl.v1beta1.IDeleteDatasetRequest, options: CallOptions, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

deleteDataset(request, callback)

deleteDataset(request: protos.google.cloud.automl.v1beta1.IDeleteDatasetRequest, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

deleteModel(request, options)

deleteModel(request?: protos.google.cloud.automl.v1beta1.IDeleteModelRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

  /**
   * 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. Resource name of the model being deleted.
   */
  // const name = 'abc123'

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

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

  callDeleteModel();

deleteModel(request, options, callback)

deleteModel(request: protos.google.cloud.automl.v1beta1.IDeleteModelRequest, options: CallOptions, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

deleteModel(request, callback)

deleteModel(request: protos.google.cloud.automl.v1beta1.IDeleteModelRequest, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

deployModel(request, options)

deployModel(request?: protos.google.cloud.automl.v1beta1.IDeployModelRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

  /**
   * 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.
   */
  /**
   *  Model deployment metadata specific to Image Object Detection.
   */
  // const imageObjectDetectionModelDeploymentMetadata = {}
  /**
   *  Model deployment metadata specific to Image Classification.
   */
  // const imageClassificationModelDeploymentMetadata = {}
  /**
   *  Required. Resource name of the model to deploy.
   */
  // const name = 'abc123'

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

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

  callDeployModel();

deployModel(request, options, callback)

deployModel(request: protos.google.cloud.automl.v1beta1.IDeployModelRequest, options: CallOptions, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

deployModel(request, callback)

deployModel(request: protos.google.cloud.automl.v1beta1.IDeployModelRequest, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

exportData(request, options)

exportData(request?: protos.google.cloud.automl.v1beta1.IExportDataRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

  /**
   * 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 dataset.
   */
  // const name = 'abc123'
  /**
   *  Required. The desired output location.
   */
  // const outputConfig = {}

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

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

  callExportData();

exportData(request, options, callback)

exportData(request: protos.google.cloud.automl.v1beta1.IExportDataRequest, options: CallOptions, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

exportData(request, callback)

exportData(request: protos.google.cloud.automl.v1beta1.IExportDataRequest, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

exportEvaluatedExamples(request, options)

exportEvaluatedExamples(request?: protos.google.cloud.automl.v1beta1.IExportEvaluatedExamplesRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

  /**
   * 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 whose evaluated examples are to
   *  be exported.
   */
  // const name = 'abc123'
  /**
   *  Required. The desired output location and configuration.
   */
  // const outputConfig = {}

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

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

  callExportEvaluatedExamples();

exportEvaluatedExamples(request, options, callback)

exportEvaluatedExamples(request: protos.google.cloud.automl.v1beta1.IExportEvaluatedExamplesRequest, options: CallOptions, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

exportEvaluatedExamples(request, callback)

exportEvaluatedExamples(request: protos.google.cloud.automl.v1beta1.IExportEvaluatedExamplesRequest, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

exportModel(request, options)

exportModel(request?: protos.google.cloud.automl.v1beta1.IExportModelRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

  /**
   * 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 to export.
   */
  // const name = 'abc123'
  /**
   *  Required. The desired output location and configuration.
   */
  // const outputConfig = {}

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

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

  callExportModel();

exportModel(request, options, callback)

exportModel(request: protos.google.cloud.automl.v1beta1.IExportModelRequest, options: CallOptions, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

exportModel(request, callback)

exportModel(request: protos.google.cloud.automl.v1beta1.IExportModelRequest, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

getAnnotationSpec(request, options)

getAnnotationSpec(request?: protos.google.cloud.automl.v1beta1.IGetAnnotationSpecRequest, options?: CallOptions): Promise<[
        protos.google.cloud.automl.v1beta1.IAnnotationSpec,
        protos.google.cloud.automl.v1beta1.IGetAnnotationSpecRequest | undefined,
        {} | undefined
    ]>;

  /**
   * 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 annotation spec to retrieve.
   */
  // const name = 'abc123'

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

    // Run request
    const response = await automlClient.getAnnotationSpec(request);
    console.log(response);
  }

  callGetAnnotationSpec();

getAnnotationSpec(request, options, callback)

getAnnotationSpec(request: protos.google.cloud.automl.v1beta1.IGetAnnotationSpecRequest, options: CallOptions, callback: Callback<protos.google.cloud.automl.v1beta1.IAnnotationSpec, protos.google.cloud.automl.v1beta1.IGetAnnotationSpecRequest | null | undefined, {} | null | undefined>): void;

getAnnotationSpec(request, callback)

getAnnotationSpec(request: protos.google.cloud.automl.v1beta1.IGetAnnotationSpecRequest, callback: Callback<protos.google.cloud.automl.v1beta1.IAnnotationSpec, protos.google.cloud.automl.v1beta1.IGetAnnotationSpecRequest | null | undefined, {} | null | undefined>): void;

getColumnSpec(request, options)

getColumnSpec(request?: protos.google.cloud.automl.v1beta1.IGetColumnSpecRequest, options?: CallOptions): Promise<[
        protos.google.cloud.automl.v1beta1.IColumnSpec,
        protos.google.cloud.automl.v1beta1.IGetColumnSpecRequest | undefined,
        {} | undefined
    ]>;

  /**
   * 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 column spec to retrieve.
   */
  // const name = 'abc123'
  /**
   *  Mask specifying which fields to read.
   */
  // const fieldMask = {}

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

    // Run request
    const response = await automlClient.getColumnSpec(request);
    console.log(response);
  }

  callGetColumnSpec();

getColumnSpec(request, options, callback)

getColumnSpec(request: protos.google.cloud.automl.v1beta1.IGetColumnSpecRequest, options: CallOptions, callback: Callback<protos.google.cloud.automl.v1beta1.IColumnSpec, protos.google.cloud.automl.v1beta1.IGetColumnSpecRequest | null | undefined, {} | null | undefined>): void;

getColumnSpec(request, callback)

getColumnSpec(request: protos.google.cloud.automl.v1beta1.IGetColumnSpecRequest, callback: Callback<protos.google.cloud.automl.v1beta1.IColumnSpec, protos.google.cloud.automl.v1beta1.IGetColumnSpecRequest | null | undefined, {} | null | undefined>): void;

getDataset(request, options)

getDataset(request?: protos.google.cloud.automl.v1beta1.IGetDatasetRequest, options?: CallOptions): Promise<[
        protos.google.cloud.automl.v1beta1.IDataset,
        protos.google.cloud.automl.v1beta1.IGetDatasetRequest | undefined,
        {} | undefined
    ]>;

  /**
   * 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 dataset to retrieve.
   */
  // const name = 'abc123'

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

    // Run request
    const response = await automlClient.getDataset(request);
    console.log(response);
  }

  callGetDataset();

getDataset(request, options, callback)

getDataset(request: protos.google.cloud.automl.v1beta1.IGetDatasetRequest, options: CallOptions, callback: Callback<protos.google.cloud.automl.v1beta1.IDataset, protos.google.cloud.automl.v1beta1.IGetDatasetRequest | null | undefined, {} | null | undefined>): void;

getDataset(request, callback)

getDataset(request: protos.google.cloud.automl.v1beta1.IGetDatasetRequest, callback: Callback<protos.google.cloud.automl.v1beta1.IDataset, protos.google.cloud.automl.v1beta1.IGetDatasetRequest | null | undefined, {} | null | undefined>): void;

getModel(request, options)

getModel(request?: protos.google.cloud.automl.v1beta1.IGetModelRequest, options?: CallOptions): Promise<[
        protos.google.cloud.automl.v1beta1.IModel,
        protos.google.cloud.automl.v1beta1.IGetModelRequest | undefined,
        {} | undefined
    ]>;

  /**
   * 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. Resource name of the model.
   */
  // const name = 'abc123'

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

    // Run request
    const response = await automlClient.getModel(request);
    console.log(response);
  }

  callGetModel();

getModel(request, options, callback)

getModel(request: protos.google.cloud.automl.v1beta1.IGetModelRequest, options: CallOptions, callback: Callback<protos.google.cloud.automl.v1beta1.IModel, protos.google.cloud.automl.v1beta1.IGetModelRequest | null | undefined, {} | null | undefined>): void;

getModel(request, callback)

getModel(request: protos.google.cloud.automl.v1beta1.IGetModelRequest, callback: Callback<protos.google.cloud.automl.v1beta1.IModel, protos.google.cloud.automl.v1beta1.IGetModelRequest | null | undefined, {} | null | undefined>): void;

getModelEvaluation(request, options)

getModelEvaluation(request?: protos.google.cloud.automl.v1beta1.IGetModelEvaluationRequest, options?: CallOptions): Promise<[
        protos.google.cloud.automl.v1beta1.IModelEvaluation,
        protos.google.cloud.automl.v1beta1.IGetModelEvaluationRequest | undefined,
        {} | undefined
    ]>;

  /**
   * 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. Resource name for the model evaluation.
   */
  // const name = 'abc123'

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

    // Run request
    const response = await automlClient.getModelEvaluation(request);
    console.log(response);
  }

  callGetModelEvaluation();

getModelEvaluation(request, options, callback)

getModelEvaluation(request: protos.google.cloud.automl.v1beta1.IGetModelEvaluationRequest, options: CallOptions, callback: Callback<protos.google.cloud.automl.v1beta1.IModelEvaluation, protos.google.cloud.automl.v1beta1.IGetModelEvaluationRequest | null | undefined, {} | null | undefined>): void;

getModelEvaluation(request, callback)

getModelEvaluation(request: protos.google.cloud.automl.v1beta1.IGetModelEvaluationRequest, callback: Callback<protos.google.cloud.automl.v1beta1.IModelEvaluation, protos.google.cloud.automl.v1beta1.IGetModelEvaluationRequest | null | undefined, {} | null | undefined>): void;

getProjectId()

getProjectId(): Promise<string>;

getProjectId(callback)

getProjectId(callback: Callback<string, undefined, undefined>): void;

getTableSpec(request, options)

getTableSpec(request?: protos.google.cloud.automl.v1beta1.IGetTableSpecRequest, options?: CallOptions): Promise<[
        protos.google.cloud.automl.v1beta1.ITableSpec,
        protos.google.cloud.automl.v1beta1.IGetTableSpecRequest | undefined,
        {} | undefined
    ]>;

  /**
   * 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 table spec to retrieve.
   */
  // const name = 'abc123'
  /**
   *  Mask specifying which fields to read.
   */
  // const fieldMask = {}

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

    // Run request
    const response = await automlClient.getTableSpec(request);
    console.log(response);
  }

  callGetTableSpec();

getTableSpec(request, options, callback)

getTableSpec(request: protos.google.cloud.automl.v1beta1.IGetTableSpecRequest, options: CallOptions, callback: Callback<protos.google.cloud.automl.v1beta1.ITableSpec, protos.google.cloud.automl.v1beta1.IGetTableSpecRequest | null | undefined, {} | null | undefined>): void;

getTableSpec(request, callback)

getTableSpec(request: protos.google.cloud.automl.v1beta1.IGetTableSpecRequest, callback: Callback<protos.google.cloud.automl.v1beta1.ITableSpec, protos.google.cloud.automl.v1beta1.IGetTableSpecRequest | null | undefined, {} | null | undefined>): void;

importData(request, options)

importData(request?: protos.google.cloud.automl.v1beta1.IImportDataRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

  /**
   * 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. Dataset name. Dataset must already exist. All imported
   *  annotations and examples will be added.
   */
  // const name = 'abc123'
  /**
   *  Required. The desired input location and its domain specific semantics,
   *  if any.
   */
  // const inputConfig = {}

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

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

  callImportData();

importData(request, options, callback)

importData(request: protos.google.cloud.automl.v1beta1.IImportDataRequest, options: CallOptions, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

importData(request, callback)

importData(request: protos.google.cloud.automl.v1beta1.IImportDataRequest, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

initialize()

initialize(): Promise<{
        [name: string]: Function;
    }>;

listColumnSpecs(request, options)

listColumnSpecs(request?: protos.google.cloud.automl.v1beta1.IListColumnSpecsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.automl.v1beta1.IColumnSpec[],
        protos.google.cloud.automl.v1beta1.IListColumnSpecsRequest | null,
        protos.google.cloud.automl.v1beta1.IListColumnSpecsResponse
    ]>;

listColumnSpecs(request, options, callback)

listColumnSpecs(request: protos.google.cloud.automl.v1beta1.IListColumnSpecsRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.automl.v1beta1.IListColumnSpecsRequest, protos.google.cloud.automl.v1beta1.IListColumnSpecsResponse | null | undefined, protos.google.cloud.automl.v1beta1.IColumnSpec>): void;

listColumnSpecs(request, callback)

listColumnSpecs(request: protos.google.cloud.automl.v1beta1.IListColumnSpecsRequest, callback: PaginationCallback<protos.google.cloud.automl.v1beta1.IListColumnSpecsRequest, protos.google.cloud.automl.v1beta1.IListColumnSpecsResponse | null | undefined, protos.google.cloud.automl.v1beta1.IColumnSpec>): void;

listColumnSpecsAsync(request, options)

listColumnSpecsAsync(request?: protos.google.cloud.automl.v1beta1.IListColumnSpecsRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.automl.v1beta1.IColumnSpec>;

  /**
   * 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 table spec to list column specs from.
   */
  // const parent = 'abc123'
  /**
   *  Mask specifying which fields to read.
   */
  // const fieldMask = {}
  /**
   *  Filter expression, see go/filtering.
   */
  // const filter = 'abc123'
  /**
   *  Requested page size. The server can return fewer results than requested.
   *  If unspecified, the server will pick a default size.
   */
  // const pageSize = 1234
  /**
   *  A token identifying a page of results for the server to return.
   *  Typically obtained from the
   *  ListColumnSpecsResponse.next_page_token google.cloud.automl.v1beta1.ListColumnSpecsResponse.next_page_token  field of the previous
   *  AutoMl.ListColumnSpecs google.cloud.automl.v1beta1.AutoMl.ListColumnSpecs  call.
   */
  // const pageToken = 'abc123'

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

    // Run request
    const iterable = await automlClient.listColumnSpecsAsync(request);
    for await (const response of iterable) {
        console.log(response);
    }
  }

  callListColumnSpecs();

listColumnSpecsStream(request, options)

listColumnSpecsStream(request?: protos.google.cloud.automl.v1beta1.IListColumnSpecsRequest, options?: CallOptions): Transform;

listDatasets(request, options)

listDatasets(request?: protos.google.cloud.automl.v1beta1.IListDatasetsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.automl.v1beta1.IDataset[],
        protos.google.cloud.automl.v1beta1.IListDatasetsRequest | null,
        protos.google.cloud.automl.v1beta1.IListDatasetsResponse
    ]>;

listDatasets(request, options, callback)

listDatasets(request: protos.google.cloud.automl.v1beta1.IListDatasetsRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.automl.v1beta1.IListDatasetsRequest, protos.google.cloud.automl.v1beta1.IListDatasetsResponse | null | undefined, protos.google.cloud.automl.v1beta1.IDataset>): void;

listDatasets(request, callback)

listDatasets(request: protos.google.cloud.automl.v1beta1.IListDatasetsRequest, callback: PaginationCallback<protos.google.cloud.automl.v1beta1.IListDatasetsRequest, protos.google.cloud.automl.v1beta1.IListDatasetsResponse | null | undefined, protos.google.cloud.automl.v1beta1.IDataset>): void;

listDatasetsAsync(request, options)

listDatasetsAsync(request?: protos.google.cloud.automl.v1beta1.IListDatasetsRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.automl.v1beta1.IDataset>;

  /**
   * 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 project from which to list datasets.
   */
  // const parent = 'abc123'
  /**
   *  An expression for filtering the results of the request.
   *    * `dataset_metadata` - for existence of the case (e.g.
   *              `image_classification_dataset_metadata:*`). Some examples of
   *              using the filter are:
   *    * `translation_dataset_metadata:*` --> The dataset has
   *                                           `translation_dataset_metadata`.
   */
  // const filter = 'abc123'
  /**
   *  Requested page size. Server may return fewer results than requested.
   *  If unspecified, server will pick a default size.
   */
  // const pageSize = 1234
  /**
   *  A token identifying a page of results for the server to return
   *  Typically obtained via
   *  ListDatasetsResponse.next_page_token google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token  of the previous
   *  AutoMl.ListDatasets google.cloud.automl.v1beta1.AutoMl.ListDatasets  call.
   */
  // const pageToken = 'abc123'

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

    // Run request
    const iterable = await automlClient.listDatasetsAsync(request);
    for await (const response of iterable) {
        console.log(response);
    }
  }

  callListDatasets();

listDatasetsStream(request, options)

listDatasetsStream(request?: protos.google.cloud.automl.v1beta1.IListDatasetsRequest, options?: CallOptions): Transform;

listModelEvaluations(request, options)

listModelEvaluations(request?: protos.google.cloud.automl.v1beta1.IListModelEvaluationsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.automl.v1beta1.IModelEvaluation[],
        protos.google.cloud.automl.v1beta1.IListModelEvaluationsRequest | null,
        protos.google.cloud.automl.v1beta1.IListModelEvaluationsResponse
    ]>;

listModelEvaluations(request, options, callback)

listModelEvaluations(request: protos.google.cloud.automl.v1beta1.IListModelEvaluationsRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.automl.v1beta1.IListModelEvaluationsRequest, protos.google.cloud.automl.v1beta1.IListModelEvaluationsResponse | null | undefined, protos.google.cloud.automl.v1beta1.IModelEvaluation>): void;

listModelEvaluations(request, callback)

listModelEvaluations(request: protos.google.cloud.automl.v1beta1.IListModelEvaluationsRequest, callback: PaginationCallback<protos.google.cloud.automl.v1beta1.IListModelEvaluationsRequest, protos.google.cloud.automl.v1beta1.IListModelEvaluationsResponse | null | undefined, protos.google.cloud.automl.v1beta1.IModelEvaluation>): void;

listModelEvaluationsAsync(request, options)

listModelEvaluationsAsync(request?: protos.google.cloud.automl.v1beta1.IListModelEvaluationsRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.automl.v1beta1.IModelEvaluation>;

  /**
   * 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. Resource name of the model to list the model evaluations for.
   *  If modelId is set as "-", this will list model evaluations from across all
   *  models of the parent location.
   */
  // const parent = 'abc123'
  /**
   *  An expression for filtering the results of the request.
   *    * `annotation_spec_id` - for =, !=  or existence. See example below for
   *                           the last.
   *  Some examples of using the filter are:
   *    * `annotation_spec_id!=4` --> The model evaluation was done for
   *                              annotation spec with ID different than 4.
   *    * `NOT annotation_spec_id:*` --> The model evaluation was done for
   *                                 aggregate of all annotation specs.
   */
  // const filter = 'abc123'
  /**
   *  Requested page size.
   */
  // const pageSize = 1234
  /**
   *  A token identifying a page of results for the server to return.
   *  Typically obtained via
   *  ListModelEvaluationsResponse.next_page_token google.cloud.automl.v1beta1.ListModelEvaluationsResponse.next_page_token  of the previous
   *  AutoMl.ListModelEvaluations google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations  call.
   */
  // const pageToken = 'abc123'

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

    // Run request
    const iterable = await automlClient.listModelEvaluationsAsync(request);
    for await (const response of iterable) {
        console.log(response);
    }
  }

  callListModelEvaluations();

listModelEvaluationsStream(request, options)

listModelEvaluationsStream(request?: protos.google.cloud.automl.v1beta1.IListModelEvaluationsRequest, options?: CallOptions): Transform;

listModels(request, options)

listModels(request?: protos.google.cloud.automl.v1beta1.IListModelsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.automl.v1beta1.IModel[],
        protos.google.cloud.automl.v1beta1.IListModelsRequest | null,
        protos.google.cloud.automl.v1beta1.IListModelsResponse
    ]>;

listModels(request, options, callback)

listModels(request: protos.google.cloud.automl.v1beta1.IListModelsRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.automl.v1beta1.IListModelsRequest, protos.google.cloud.automl.v1beta1.IListModelsResponse | null | undefined, protos.google.cloud.automl.v1beta1.IModel>): void;

listModels(request, callback)

listModels(request: protos.google.cloud.automl.v1beta1.IListModelsRequest, callback: PaginationCallback<protos.google.cloud.automl.v1beta1.IListModelsRequest, protos.google.cloud.automl.v1beta1.IListModelsResponse | null | undefined, protos.google.cloud.automl.v1beta1.IModel>): void;

listModelsAsync(request, options)

listModelsAsync(request?: protos.google.cloud.automl.v1beta1.IListModelsRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.automl.v1beta1.IModel>;

  /**
   * 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. Resource name of the project, from which to list the models.
   */
  // const parent = 'abc123'
  /**
   *  An expression for filtering the results of the request.
   *    * `model_metadata` - for existence of the case (e.g.
   *              `video_classification_model_metadata:*`).
   *    * `dataset_id` - for = or !=. Some examples of using the filter are:
   *    * `image_classification_model_metadata:*` --> The model has
   *                                       `image_classification_model_metadata`.
   *    * `dataset_id=5` --> The model was created from a dataset with ID 5.
   */
  // const filter = 'abc123'
  /**
   *  Requested page size.
   */
  // const pageSize = 1234
  /**
   *  A token identifying a page of results for the server to return
   *  Typically obtained via
   *  ListModelsResponse.next_page_token google.cloud.automl.v1beta1.ListModelsResponse.next_page_token  of the previous
   *  AutoMl.ListModels google.cloud.automl.v1beta1.AutoMl.ListModels  call.
   */
  // const pageToken = 'abc123'

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

    // Run request
    const iterable = await automlClient.listModelsAsync(request);
    for await (const response of iterable) {
        console.log(response);
    }
  }

  callListModels();

listModelsStream(request, options)

listModelsStream(request?: protos.google.cloud.automl.v1beta1.IListModelsRequest, options?: CallOptions): Transform;

listTableSpecs(request, options)

listTableSpecs(request?: protos.google.cloud.automl.v1beta1.IListTableSpecsRequest, options?: CallOptions): Promise<[
        protos.google.cloud.automl.v1beta1.ITableSpec[],
        protos.google.cloud.automl.v1beta1.IListTableSpecsRequest | null,
        protos.google.cloud.automl.v1beta1.IListTableSpecsResponse
    ]>;

listTableSpecs(request, options, callback)

listTableSpecs(request: protos.google.cloud.automl.v1beta1.IListTableSpecsRequest, options: CallOptions, callback: PaginationCallback<protos.google.cloud.automl.v1beta1.IListTableSpecsRequest, protos.google.cloud.automl.v1beta1.IListTableSpecsResponse | null | undefined, protos.google.cloud.automl.v1beta1.ITableSpec>): void;

listTableSpecs(request, callback)

listTableSpecs(request: protos.google.cloud.automl.v1beta1.IListTableSpecsRequest, callback: PaginationCallback<protos.google.cloud.automl.v1beta1.IListTableSpecsRequest, protos.google.cloud.automl.v1beta1.IListTableSpecsResponse | null | undefined, protos.google.cloud.automl.v1beta1.ITableSpec>): void;

listTableSpecsAsync(request, options)

listTableSpecsAsync(request?: protos.google.cloud.automl.v1beta1.IListTableSpecsRequest, options?: CallOptions): AsyncIterable<protos.google.cloud.automl.v1beta1.ITableSpec>;

  /**
   * 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 dataset to list table specs from.
   */
  // const parent = 'abc123'
  /**
   *  Mask specifying which fields to read.
   */
  // const fieldMask = {}
  /**
   *  Filter expression, see go/filtering.
   */
  // const filter = 'abc123'
  /**
   *  Requested page size. The server can return fewer results than requested.
   *  If unspecified, the server will pick a default size.
   */
  // const pageSize = 1234
  /**
   *  A token identifying a page of results for the server to return.
   *  Typically obtained from the
   *  ListTableSpecsResponse.next_page_token google.cloud.automl.v1beta1.ListTableSpecsResponse.next_page_token  field of the previous
   *  AutoMl.ListTableSpecs google.cloud.automl.v1beta1.AutoMl.ListTableSpecs  call.
   */
  // const pageToken = 'abc123'

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

    // Run request
    const iterable = await automlClient.listTableSpecsAsync(request);
    for await (const response of iterable) {
        console.log(response);
    }
  }

  callListTableSpecs();

listTableSpecsStream(request, options)

listTableSpecsStream(request?: protos.google.cloud.automl.v1beta1.IListTableSpecsRequest, options?: CallOptions): Transform;

locationPath(project, location)

locationPath(project: string, location: string): string;

matchAnnotationSpecFromAnnotationSpecName(annotationSpecName)

matchAnnotationSpecFromAnnotationSpecName(annotationSpecName: string): string | number;

matchColumnSpecFromColumnSpecName(columnSpecName)

matchColumnSpecFromColumnSpecName(columnSpecName: string): string | number;

matchDatasetFromAnnotationSpecName(annotationSpecName)

matchDatasetFromAnnotationSpecName(annotationSpecName: string): string | number;

matchDatasetFromColumnSpecName(columnSpecName)

matchDatasetFromColumnSpecName(columnSpecName: string): string | number;

matchDatasetFromDatasetName(datasetName)

matchDatasetFromDatasetName(datasetName: string): string | number;

matchDatasetFromTableSpecName(tableSpecName)

matchDatasetFromTableSpecName(tableSpecName: string): string | number;

matchLocationFromAnnotationSpecName(annotationSpecName)

matchLocationFromAnnotationSpecName(annotationSpecName: string): string | number;

matchLocationFromColumnSpecName(columnSpecName)

matchLocationFromColumnSpecName(columnSpecName: string): string | number;

matchLocationFromDatasetName(datasetName)

matchLocationFromDatasetName(datasetName: string): string | number;

matchLocationFromLocationName(locationName)

matchLocationFromLocationName(locationName: string): string | number;

matchLocationFromModelEvaluationName(modelEvaluationName)

matchLocationFromModelEvaluationName(modelEvaluationName: string): string | number;

matchLocationFromModelName(modelName)

matchLocationFromModelName(modelName: string): string | number;

matchLocationFromTableSpecName(tableSpecName)

matchLocationFromTableSpecName(tableSpecName: string): string | number;

matchModelEvaluationFromModelEvaluationName(modelEvaluationName)

matchModelEvaluationFromModelEvaluationName(modelEvaluationName: string): string | number;

matchModelFromModelEvaluationName(modelEvaluationName)

matchModelFromModelEvaluationName(modelEvaluationName: string): string | number;

matchModelFromModelName(modelName)

matchModelFromModelName(modelName: string): string | number;

matchProjectFromAnnotationSpecName(annotationSpecName)

matchProjectFromAnnotationSpecName(annotationSpecName: string): string | number;

matchProjectFromColumnSpecName(columnSpecName)

matchProjectFromColumnSpecName(columnSpecName: string): string | number;

matchProjectFromDatasetName(datasetName)

matchProjectFromDatasetName(datasetName: string): string | number;

matchProjectFromLocationName(locationName)

matchProjectFromLocationName(locationName: string): string | number;

matchProjectFromModelEvaluationName(modelEvaluationName)

matchProjectFromModelEvaluationName(modelEvaluationName: string): string | number;

matchProjectFromModelName(modelName)

matchProjectFromModelName(modelName: string): string | number;

matchProjectFromTableSpecName(tableSpecName)

matchProjectFromTableSpecName(tableSpecName: string): string | number;

matchTableSpecFromColumnSpecName(columnSpecName)

matchTableSpecFromColumnSpecName(columnSpecName: string): string | number;

matchTableSpecFromTableSpecName(tableSpecName)

matchTableSpecFromTableSpecName(tableSpecName: string): string | number;

modelEvaluationPath(project, location, model, modelEvaluation)

modelEvaluationPath(project: string, location: string, model: string, modelEvaluation: string): string;

modelPath(project, location, model)

modelPath(project: string, location: string, model: string): string;

tableSpecPath(project, location, dataset, tableSpec)

tableSpecPath(project: string, location: string, dataset: string, tableSpec: string): string;

undeployModel(request, options)

undeployModel(request?: protos.google.cloud.automl.v1beta1.IUndeployModelRequest, options?: CallOptions): Promise<[
        LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>,
        protos.google.longrunning.IOperation | undefined,
        {} | undefined
    ]>;

  /**
   * 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. Resource name of the model to undeploy.
   */
  // const name = 'abc123'

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

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

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

  callUndeployModel();

undeployModel(request, options, callback)

undeployModel(request: protos.google.cloud.automl.v1beta1.IUndeployModelRequest, options: CallOptions, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

undeployModel(request, callback)

undeployModel(request: protos.google.cloud.automl.v1beta1.IUndeployModelRequest, callback: Callback<LROperation<protos.google.protobuf.IEmpty, protos.google.cloud.automl.v1beta1.IOperationMetadata>, protos.google.longrunning.IOperation | null | undefined, {} | null | undefined>): void;

updateColumnSpec(request, options)

updateColumnSpec(request?: protos.google.cloud.automl.v1beta1.IUpdateColumnSpecRequest, options?: CallOptions): Promise<[
        protos.google.cloud.automl.v1beta1.IColumnSpec,
        protos.google.cloud.automl.v1beta1.IUpdateColumnSpecRequest | undefined,
        {} | undefined
    ]>;

  /**
   * 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 column spec which replaces the resource on the server.
   */
  // const columnSpec = {}
  /**
   *  The update mask applies to the resource.
   */
  // const updateMask = {}

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

  async function callUpdateColumnSpec() {
    // Construct request
    const request = {
      columnSpec,
    };

    // Run request
    const response = await automlClient.updateColumnSpec(request);
    console.log(response);
  }

  callUpdateColumnSpec();

updateColumnSpec(request, options, callback)

updateColumnSpec(request: protos.google.cloud.automl.v1beta1.IUpdateColumnSpecRequest, options: CallOptions, callback: Callback<protos.google.cloud.automl.v1beta1.IColumnSpec, protos.google.cloud.automl.v1beta1.IUpdateColumnSpecRequest | null | undefined, {} | null | undefined>): void;

updateColumnSpec(request, callback)

updateColumnSpec(request: protos.google.cloud.automl.v1beta1.IUpdateColumnSpecRequest, callback: Callback<protos.google.cloud.automl.v1beta1.IColumnSpec, protos.google.cloud.automl.v1beta1.IUpdateColumnSpecRequest | null | undefined, {} | null | undefined>): void;

updateDataset(request, options)

updateDataset(request?: protos.google.cloud.automl.v1beta1.IUpdateDatasetRequest, options?: CallOptions): Promise<[
        protos.google.cloud.automl.v1beta1.IDataset,
        protos.google.cloud.automl.v1beta1.IUpdateDatasetRequest | undefined,
        {} | undefined
    ]>;

  /**
   * 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 dataset which replaces the resource on the server.
   */
  // const dataset = {}
  /**
   *  The update mask applies to the resource.
   */
  // const updateMask = {}

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

  async function callUpdateDataset() {
    // Construct request
    const request = {
      dataset,
    };

    // Run request
    const response = await automlClient.updateDataset(request);
    console.log(response);
  }

  callUpdateDataset();

updateDataset(request, options, callback)

updateDataset(request: protos.google.cloud.automl.v1beta1.IUpdateDatasetRequest, options: CallOptions, callback: Callback<protos.google.cloud.automl.v1beta1.IDataset, protos.google.cloud.automl.v1beta1.IUpdateDatasetRequest | null | undefined, {} | null | undefined>): void;

updateDataset(request, callback)

updateDataset(request: protos.google.cloud.automl.v1beta1.IUpdateDatasetRequest, callback: Callback<protos.google.cloud.automl.v1beta1.IDataset, protos.google.cloud.automl.v1beta1.IUpdateDatasetRequest | null | undefined, {} | null | undefined>): void;

updateTableSpec(request, options)

updateTableSpec(request?: protos.google.cloud.automl.v1beta1.IUpdateTableSpecRequest, options?: CallOptions): Promise<[
        protos.google.cloud.automl.v1beta1.ITableSpec,
        protos.google.cloud.automl.v1beta1.IUpdateTableSpecRequest | undefined,
        {} | undefined
    ]>;

  /**
   * 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 table spec which replaces the resource on the server.
   */
  // const tableSpec = {}
  /**
   *  The update mask applies to the resource.
   */
  // const updateMask = {}

  // Imports the Automl library
  const {AutoMlClient} = require('@google-cloud/automl').v1beta1;

  // Instantiates a client
  const automlClient = new AutoMlClient();

  async function callUpdateTableSpec() {
    // Construct request
    const request = {
      tableSpec,
    };

    // Run request
    const response = await automlClient.updateTableSpec(request);
    console.log(response);
  }

  callUpdateTableSpec();

updateTableSpec(request, options, callback)

updateTableSpec(request: protos.google.cloud.automl.v1beta1.IUpdateTableSpecRequest, options: CallOptions, callback: Callback<protos.google.cloud.automl.v1beta1.ITableSpec, protos.google.cloud.automl.v1beta1.IUpdateTableSpecRequest | null | undefined, {} | null | undefined>): void;

updateTableSpec(request, callback)

updateTableSpec(request: protos.google.cloud.automl.v1beta1.IUpdateTableSpecRequest, callback: Callback<protos.google.cloud.automl.v1beta1.ITableSpec, protos.google.cloud.automl.v1beta1.IUpdateTableSpecRequest | null | undefined, {} | null | undefined>): void;