async function createTrainingPipelineTablesRegression()

in ai-platform/snippets/create-training-pipeline-tabular-regression.js [53:128]
69 lines of code
1 McCabe index (conditional complexity)

  async function createTrainingPipelineTablesRegression() {
    // Configure the parent resource
    const parent = `projects/${project}/locations/${location}`;

    const transformations = [
      {auto: {column_name: 'STRING_5000unique_NULLABLE'}},
      {auto: {column_name: 'INTEGER_5000unique_NULLABLE'}},
      {auto: {column_name: 'FLOAT_5000unique_NULLABLE'}},
      {auto: {column_name: 'FLOAT_5000unique_REPEATED'}},
      {auto: {column_name: 'NUMERIC_5000unique_NULLABLE'}},
      {auto: {column_name: 'BOOLEAN_2unique_NULLABLE'}},
      {
        timestamp: {
          column_name: 'TIMESTAMP_1unique_NULLABLE',
          invalid_values_allowed: true,
        },
      },
      {auto: {column_name: 'DATE_1unique_NULLABLE'}},
      {auto: {column_name: 'TIME_1unique_NULLABLE'}},
      {
        timestamp: {
          column_name: 'DATETIME_1unique_NULLABLE',
          invalid_values_allowed: true,
        },
      },
      {auto: {column_name: 'STRUCT_NULLABLE.STRING_5000unique_NULLABLE'}},
      {auto: {column_name: 'STRUCT_NULLABLE.INTEGER_5000unique_NULLABLE'}},
      {auto: {column_name: 'STRUCT_NULLABLE.FLOAT_5000unique_NULLABLE'}},
      {auto: {column_name: 'STRUCT_NULLABLE.FLOAT_5000unique_REQUIRED'}},
      {auto: {column_name: 'STRUCT_NULLABLE.FLOAT_5000unique_REPEATED'}},
      {auto: {column_name: 'STRUCT_NULLABLE.NUMERIC_5000unique_NULLABLE'}},
      {auto: {column_name: 'STRUCT_NULLABLE.BOOLEAN_2unique_NULLABLE'}},
      {auto: {column_name: 'STRUCT_NULLABLE.TIMESTAMP_1unique_NULLABLE'}},
    ];

    const trainingTaskInputsObj = new definition.AutoMlTablesInputs({
      transformations,
      targetColumn,
      predictionType: 'regression',
      trainBudgetMilliNodeHours: 8000,
      disableEarlyStopping: false,
      optimizationObjective: 'minimize-rmse',
    });
    const trainingTaskInputs = trainingTaskInputsObj.toValue();

    const modelToUpload = {displayName: modelDisplayName};
    const inputDataConfig = {
      datasetId: datasetId,
      fractionSplit: {
        trainingFraction: 0.8,
        validationFraction: 0.1,
        testFraction: 0.1,
      },
    };
    const trainingPipeline = {
      displayName: trainingPipelineDisplayName,
      trainingTaskDefinition:
        'gs://google-cloud-aiplatform/schema/trainingjob/definition/automl_tables_1.0.0.yaml',
      trainingTaskInputs,
      inputDataConfig,
      modelToUpload,
    };
    const request = {
      parent,
      trainingPipeline,
    };

    // Create training pipeline request
    const [response] =
      await pipelineServiceClient.createTrainingPipeline(request);

    console.log('Create training pipeline tabular regression response');
    console.log(`Name : ${response.name}`);
    console.log('Raw response:');
    console.log(JSON.stringify(response, null, 2));
  }