diff --git a/translate/automl/automlTranslationDataset.js b/translate/automl/automlTranslationDataset.js
deleted file mode 100644
index 851ad9f6ab..0000000000
--- a/translate/automl/automlTranslationDataset.js
+++ /dev/null
@@ -1,325 +0,0 @@
-// Copyright 2018 Google LLC
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//      http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-/**
- * This application demonstrates how to perform basic operations on dataset
- * with the Google AutoML Translation API.
- *
- * For more information, see the documentation at
- * https://cloud.google.com/translate/automl/docs
- */
-
-'use strict';
-
-async function createDataset(projectId) {
-  // [START automl_translation_create_dataset]
-  const automl = require('@google-cloud/automl');
-
-  const client = new automl.AutoMlClient();
-  const computeRegion = 'us-central1';
-  const datasetName = 'myDataset';
-  const source = 'en';
-  const target = 'ja';
-
-  // A resource that represents Google Cloud Platform location.
-  const projectLocation = client.locationPath(projectId, computeRegion);
-
-  // Specify the source and target language.
-  const datasetSpec = {
-    sourceLanguageCode: source,
-    targetLanguageCode: target,
-  };
-
-  // Set dataset name and dataset specification.
-  const datasetInfo = {
-    displayName: datasetName,
-    translationDatasetMetadata: datasetSpec,
-  };
-
-  // Create a dataset with the dataset specification in the region.
-  const [dataset] = await client.createDataset({
-    parent: projectLocation,
-    dataset: datasetInfo,
-  });
-
-  // Display the dataset information
-  console.log(`Dataset name: ${dataset.name}`);
-  console.log(`Dataset id: ${dataset.name.split('/').pop(-1)}`);
-  console.log(`Dataset display name: ${dataset.displayName}`);
-  console.log(`Dataset example count: ${dataset.exampleCount}`);
-  console.log('Translation dataset specification:');
-  console.log(
-    `\tSource language code: ${dataset.translationDatasetMetadata.sourceLanguageCode}`
-  );
-  console.log(
-    `\tTarget language code: ${dataset.translationDatasetMetadata.targetLanguageCode}`
-  );
-  console.log('Dataset create time:');
-  console.log(`\tseconds: ${dataset.createTime.seconds}`);
-  console.log(`\tnanos: ${dataset.createTime.nanos}`);
-  // [END automl_translation_create_dataset]
-}
-
-async function listDatasets(projectId, computeRegion, filter) {
-  // [START automl_translation_list_datasets]
-  const automl = require('@google-cloud/automl');
-  const client = new automl.AutoMlClient();
-
-  /**
-   * TODO(developer): Uncomment the following line before running the sample.
-   */
-  // const projectId = `The GCLOUD_PROJECT string, e.g. "my-gcloud-project"`;
-  // const computeRegion = `region-name, e.g. "us-central1"`;
-  // const filter = `filter expressions, must specify field e.g. “imageClassificationModelMetadata:*”`;
-
-  // A resource that represents Google Cloud Platform location.
-  const projectLocation = client.locationPath(projectId, computeRegion);
-
-  // List all the datasets available in the region by applying filter.
-  const [datasets] = await client.listDatasets({
-    parent: projectLocation,
-    filter: filter,
-  });
-
-  // Display the dataset information.
-  if (datasets.length === 0) {
-    console.log('No datasets found!');
-    return;
-  }
-  console.log('List of datasets:');
-  datasets.forEach(dataset => {
-    console.log(`Dataset name: ${dataset.name}`);
-    console.log(`Dataset id: ${dataset.name.split('/').pop(-1)}`);
-    console.log(`Dataset display name: ${dataset.displayName}`);
-    console.log(`Dataset example count: ${dataset.exampleCount}`);
-    console.log('Translation dataset specification:');
-    console.log(
-      `\tSource language code: ${dataset.translationDatasetMetadata.sourceLanguageCode}`
-    );
-    console.log(
-      `\tTarget language code: ${dataset.translationDatasetMetadata.targetLanguageCode}`
-    );
-    console.log('Dataset create time:');
-    console.log(`\tseconds: ${dataset.createTime.seconds}`);
-    console.log(`\tnanos: ${dataset.createTime.nanos}`);
-  });
-  // [END automl_translation_list_datasets]
-}
-
-async function getDataset(projectId, computeRegion, datasetId) {
-  // [START automl_translation_get_dataset]
-  const automl = require('@google-cloud/automl');
-  const client = new automl.AutoMlClient();
-
-  /**
-   * TODO(developer): Uncomment the following line before running the sample.
-   */
-  // const projectId = `The GCLOUD_PROJECT string, e.g. "my-gcloud-project"`;
-  // const computeRegion = `region-name, e.g. "us-central1"`;
-  // const datasetId = `Id of the dataset`;
-
-  // Get the full path of the dataset.
-  const datasetFullId = client.datasetPath(projectId, computeRegion, datasetId);
-
-  // Get complete detail of the dataset.
-  const [dataset] = await client.getDataset({name: datasetFullId});
-
-  // Display the dataset information.
-  console.log(`Dataset name: ${dataset.name}`);
-  console.log(`Dataset id: ${dataset.name.split('/').pop(-1)}`);
-  console.log(`Dataset display name: ${dataset.displayName}`);
-  console.log(`Dataset example count: ${dataset.exampleCount}`);
-  console.log('Translation dataset specification:');
-  console.log(
-    `\tSource language code: ${dataset.translationDatasetMetadata.sourceLanguageCode}`
-  );
-  console.log(
-    `\tTarget language code: ${dataset.translationDatasetMetadata.targetLanguageCode}`
-  );
-  console.log('Dataset create time:');
-  console.log(`\tseconds: ${dataset.createTime.seconds}`);
-  console.log(`\tnanos: ${dataset.createTime.nanos}`);
-
-  // [END automl_translation_get_dataset]
-}
-
-async function importData(projectId, computeRegion, datasetId, path) {
-  // [START automl_translation_import_data]
-  const automl = require('@google-cloud/automl');
-
-  const client = new automl.AutoMlClient();
-
-  /**
-   * TODO(developer): Uncomment the following line before running the sample.
-   */
-  // const projectId = `The GCLOUD_PROJECT string, e.g. "my-gcloud-project"`;
-  // const computeRegion = `region-name, e.g. "us-central1"`;
-  // const datasetId = `Id of the dataset`;
-  // const path = `string or array of .csv paths in AutoML Vision CSV format, e.g. “gs://myproject/mytraindata.csv”;`
-
-  // Get the full path of the dataset.
-  const datasetFullId = client.datasetPath(projectId, computeRegion, datasetId);
-
-  // Get the multiple Google Cloud Storage URIs.
-  const inputUris = path.split(',');
-  const inputConfig = {
-    gcsSource: {
-      inputUris: inputUris,
-    },
-  };
-
-  // Import data from the input URI.
-  const [operation] = await client.importData({
-    name: datasetFullId,
-    inputConfig: inputConfig,
-  });
-  console.log('Processing import...');
-  const operationResponses = await operation.promise();
-  // The final result of the operation.
-  if (operationResponses[2].done === true) {
-    console.log('Data imported.');
-  }
-
-  // [END automl_translation_import_data]
-}
-
-async function deleteDataset(projectId, computeRegion, datasetId) {
-  // [START automl_translation_delete_dataset]
-  const automl = require('@google-cloud/automl');
-  const client = new automl.AutoMlClient();
-
-  /**
-   * TODO(developer): Uncomment the following line before running the sample.
-   */
-  // const projectId = `The GCLOUD_PROJECT string, e.g. "my-gcloud-project"`;
-  // const computeRegion = `region-name, e.g. "us-central1"`;
-  // const datasetId = `Id of the dataset`;
-
-  // Get the full path of the dataset.
-  const datasetFullId = client.datasetPath(projectId, computeRegion, datasetId);
-
-  // Delete a dataset.
-  const [operations] = await client.deleteDataset({name: datasetFullId});
-  const operationResponses = await operations.promise();
-  // The final result of the operation.
-  if (operationResponses[2].done === true) console.log('Dataset deleted.');
-
-  // [END automl_translation_delete_dataset]
-}
-
-require('yargs')
-  .demand(1)
-  .options({
-    computeRegion: {
-      alias: 'c',
-      type: 'string',
-      default: 'us-central1',
-      requiresArg: true,
-      description: 'region name e.g. "us-central1"',
-    },
-    datasetName: {
-      alias: 'n',
-      type: 'string',
-      default: 'testDataSet',
-      requiresArg: true,
-      description: 'Name of the Dataset',
-    },
-    datasetId: {
-      alias: 'i',
-      type: 'string',
-      requiresArg: true,
-      description: 'Id of the dataset',
-    },
-    filter: {
-      alias: 'f',
-      default: 'translationDatasetMetadata:*',
-      type: 'string',
-      requiresArg: true,
-      description: 'Name of the Dataset to search for',
-    },
-    multilabel: {
-      alias: 'm',
-      type: 'string',
-      default: false,
-      requiresArg: true,
-      description:
-        'Type of the classification problem, ' +
-        'False - MULTICLASS, True - MULTILABEL.',
-    },
-    outputUri: {
-      alias: 'o',
-      type: 'string',
-      requiresArg: true,
-      description: 'URI (or local path) to export dataset',
-    },
-    path: {
-      alias: 'p',
-      type: 'string',
-      global: true,
-      default: 'gs://nodejs-docs-samples-vcm/en-ja.csv',
-      requiresArg: true,
-      description: 'URI or local path to input .csv, or array of .csv paths',
-    },
-    projectId: {
-      alias: 'z',
-      type: 'number',
-      default: process.env.GCLOUD_PROJECT,
-      requiresArg: true,
-      description: 'The GCLOUD_PROJECT string, e.g. "my-gcloud-project"',
-    },
-    source: {
-      alias: 's',
-      type: 'string',
-      requiresArg: true,
-      description: 'The source language to be translated from',
-    },
-    target: {
-      alias: 't',
-      type: 'string',
-      requiresArg: true,
-      description: 'The target language to be translated to',
-    },
-  })
-  .command('create-dataset', 'creates a new Dataset', {}, opts =>
-    createDataset(
-      opts.projectId,
-      opts.computeRegion,
-      opts.datasetName,
-      opts.source,
-      opts.target
-    )
-  )
-  .command('list-datasets', 'list all Datasets', {}, opts =>
-    listDatasets(opts.projectId, opts.computeRegion, opts.filter)
-  )
-  .command('get-dataset', 'Get a Dataset', {}, opts =>
-    getDataset(opts.projectId, opts.computeRegion, opts.datasetId)
-  )
-  .command('delete-dataset', 'Delete a dataset', {}, opts =>
-    deleteDataset(opts.projectId, opts.computeRegion, opts.datasetId)
-  )
-  .command('import-data', 'Import labeled items into dataset', {}, opts =>
-    importData(opts.projectId, opts.computeRegion, opts.datasetId, opts.path)
-  )
-  .example('node $0 create-dataset -n "newDataSet" -s "en" -t "ja"')
-  .example('node $0 list-datasets -f "translationDatasetMetadata:*"')
-  .example('node $0 get-dataset -i "DATASETID"')
-  .example('node $0 delete-dataset -i "DATASETID"')
-  .example(
-    'node $0 import-data -i "dataSetId" -p "gs://myproject/mytraindata.csv"'
-  )
-  .wrap(120)
-  .recommendCommands()
-  .help()
-  .strict().argv;
diff --git a/translate/automl/automlTranslationModel.js b/translate/automl/automlTranslationModel.js
deleted file mode 100644
index 602a468954..0000000000
--- a/translate/automl/automlTranslationModel.js
+++ /dev/null
@@ -1,402 +0,0 @@
-// Copyright 2018 Google LLC
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//      http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-/**
- * This application demonstrates how to perform basic operations on model
- * with the Google AutoML Translation API.
- *
- * For more information, see the documentation at
- * https://cloud.google.com/translate/automl/docs
- */
-
-'use strict';
-
-async function createModel(projectId, computeRegion, datasetId, modelName) {
-  // [START automl_translation_create_model]
-  const automl = require('@google-cloud/automl');
-
-  const client = new automl.AutoMlClient();
-
-  /**
-   * TODO(developer): Uncomment the following line before running the sample.
-   */
-  // const projectId = `The GCLOUD_PROJECT string, e.g. "my-gcloud-project"`;
-  // const computeRegion = `region-name, e.g. "us-central1"`;
-  // const datasetId = `Id of the dataset`;
-  // const modelName = `Name of the model, e.g. "myModel"`;
-
-  // A resource that represents Google Cloud Platform location.
-  const projectLocation = client.locationPath(projectId, computeRegion);
-
-  // Set model name and dataset.
-  const myModel = {
-    displayName: modelName,
-    datasetId: datasetId,
-    translationModelMetadata: {},
-  };
-
-  // Create a model with the model metadata in the region.
-  const [operation, response] = await client.createModel({
-    parent: projectLocation,
-    model: myModel,
-  });
-  const initialApiResponse = response;
-  console.log('Training operation name: ', initialApiResponse.name);
-  console.log('Training started...');
-  const [model] = await operation.promise();
-  // The final result of the operation.
-  console.log(model);
-  // Retrieve deployment state.
-  let deploymentState = '';
-  if (model.deploymentState === 1) {
-    deploymentState = 'deployed';
-  } else if (model.deploymentState === 2) {
-    deploymentState = 'undeployed';
-  }
-
-  // Display the model information.
-  console.log(`Model name: ${model.name}`);
-  console.log(`Model id: ${model.name.split('/').pop(-1)}`);
-  console.log(`Model display name: ${model.displayName}`);
-  console.log('Model create time:');
-  console.log(`\tseconds: ${model.createTime.seconds}`);
-  console.log(`\tnanos: ${model.createTime.nanos}`);
-  console.log(`Model deployment state: ${deploymentState}`);
-
-  // [END automl_translation_create_model]
-}
-
-async function listModels(projectId, computeRegion, filter) {
-  // [START automl_translation_list_models]
-  const automl = require('@google-cloud/automl');
-
-  const client = new automl.AutoMlClient();
-
-  /**
-   * TODO(developer): Uncomment the following line before running the sample.
-   */
-  // const projectId = `The GCLOUD_PROJECT string, e.g. "my-gcloud-project"`;
-  // const computeRegion = `region-name, e.g. "us-central1"`;
-  // const filter = `filter expressions, must specify field, e.g. "translationDatasetMetadata:*”`;
-
-  // A resource that represents Google Cloud Platform location.
-  const projectLocation = client.locationPath(projectId, computeRegion);
-
-  // List all the models available in the region by applying filter.
-  const [models] = await client.listModels({
-    parent: projectLocation,
-    filter: filter,
-  });
-
-  // Display the model information.
-  console.log('List of models:');
-  models.forEach(model => {
-    console.log(`Model name: ${model.name}`);
-    console.log(`Model id: ${model.name.split('/').pop(-1)}`);
-    console.log(`Model display name: ${model.displayName}`);
-    console.log(`Model dataset id: ${model.datasetId}`);
-    console.log('Model create time:');
-    console.log(`\tseconds: ${model.createTime.seconds}`);
-    console.log(`\tnanos: ${model.createTime.nanos}`);
-    console.log('Model update time:');
-    console.log(`\tseconds: ${model.updateTime.seconds}`);
-    console.log(`\tnanos: ${model.updateTime.nanos}`);
-    console.log(`Model deployment state: ${model.deploymentState}`);
-    console.log('\n');
-  });
-
-  // [END automl_translation_list_models]
-}
-
-async function getModel(projectId, computeRegion, modelId) {
-  // [START automl_translation_get_model]
-  const automl = require('@google-cloud/automl');
-
-  const client = new automl.AutoMlClient();
-
-  /**
-   * TODO(developer): Uncomment the following line before running the sample.
-   */
-  // const projectId = `The GCLOUD_PROJECT string, e.g. "my-gcloud-project"`;
-  // const computeRegion = `region-name, e.g. "us-central1"`;
-  // const modelId = `id of the model, e.g. “ICN12345”`;
-
-  // Get the full path of the model.
-  const modelFullId = client.modelPath(projectId, computeRegion, modelId);
-
-  // Get complete detail of the model.
-  const [model] = await client.getModel({name: modelFullId});
-
-  // Display the model information.
-  console.log(`Model name: ${model.name}`);
-  console.log(`Model id: ${model.name.split('/').pop(-1)}`);
-  console.log(`Model display name: ${model.displayName}`);
-  console.log(`Model dataset id: ${model.datasetId}`);
-  if (model.modelMetadata === 'translationModelMetadata') {
-    console.log('Translation model metadata:');
-    console.log(`\tBase model: ${model.translationModelMetadata.baseModel}`);
-    console.log(
-      `\tSource language code: ${model.translationModelMetadata.sourceLanguageCode}`
-    );
-    console.log(
-      `\tTarget language code: ${model.translationModelMetadata.targetLanguageCode}`
-    );
-  } else if (model.modelMetadata === 'textClassificationModelMetadata') {
-    console.log(
-      `Text classification model metadata: ${model.textClassificationModelMetadata}`
-    );
-  } else if (model.modelMetadata === 'imageClassificationModelMetadata') {
-    console.log('Image classification model metadata:');
-    console.log(
-      `\tBase model id: ${model.imageClassificationModelMetadata.baseModelId}`
-    );
-    console.log(
-      `\tTrain budget: ${model.imageClassificationModelMetadata.trainBudget}`
-    );
-    console.log(
-      `\tTrain cost: ${model.imageClassificationModelMetadata.trainCost}`
-    );
-    console.log(
-      `\tStop reason: ${model.imageClassificationModelMetadata.stopReason}`
-    );
-  }
-  console.log('Model create time:');
-  console.log(`\tseconds: ${model.createTime.seconds}`);
-  console.log(`\tnanos: ${model.createTime.nanos}`);
-  console.log('Model update time:');
-  console.log(`\tseconds: ${model.updateTime.seconds}`);
-  console.log(`\tnanos: ${model.updateTime.nanos}`);
-  console.log(`Model deployment state: ${model.deploymentState}`);
-
-  // [END automl_translation_get_model]
-}
-
-async function listModelEvaluations(projectId, computeRegion, modelId, filter) {
-  // [START automl_translation_list_model_evaluations]
-  const automl = require('@google-cloud/automl');
-
-  const client = new automl.AutoMlClient();
-
-  /**
-   * TODO(developer): Uncomment the following line before running the sample.
-   */
-  // const projectId = `The GCLOUD_PROJECT string, e.g. "my-gcloud-project"`;
-  // const computeRegion = `region-name, e.g. "us-central1"`;
-  // const modelId = `id of the model, e.g. “ICN12345”`;
-  // const filter = `filter expressions, must specify field, e.g. “imageClassificationModelMetadata:*”`;
-
-  // Get the full path of the model.
-  const modelFullId = await client.modelPath(projectId, computeRegion, modelId);
-
-  // List all the model evaluations in the model by applying filter.
-  const [elements] = client.listModelEvaluations({
-    parent: modelFullId,
-    filter: filter,
-  });
-  console.log('List of model evaluations:');
-  elements.forEach(element => {
-    console.log(element);
-  });
-
-  // [END automl_translation_list_model_evaluations]
-}
-
-async function getModelEvaluation(
-  projectId,
-  computeRegion,
-  modelId,
-  modelEvaluationId
-) {
-  // [START automl_translation_get_model_evaluation]
-  const automl = require('@google-cloud/automl');
-  const client = new automl.AutoMlClient();
-
-  /**
-   * TODO(developer): Uncomment the following line before running the sample.
-   */
-  // const projectId = `The GCLOUD_PROJECT string, e.g. "my-gcloud-project"`;
-  // const computeRegion = `region-name, e.g. "us-central1"`;
-  // const modelId = `id of the model, e.g. “ICN12345”`;
-  // const modelEvaluationId = `Id of your model evaluation, e.g “ICN12345”
-
-  // Get the full path of the model evaluation.
-  const modelEvaluationFullId = client.modelEvaluationPath(
-    projectId,
-    computeRegion,
-    modelId,
-    modelEvaluationId
-  );
-
-  // Get complete detail of the model evaluation.
-  const [response] = await client.getModelEvaluation({
-    name: modelEvaluationFullId,
-  });
-  console.log(response);
-
-  // [END automl_translation_get_model_evaluation]
-}
-
-async function deleteModel(projectId, computeRegion, modelId) {
-  // [START automl_translation_delete_model]
-  const automl = require('@google-cloud/automl');
-
-  const client = new automl.AutoMlClient();
-
-  /**
-   * TODO(developer): Uncomment the following line before running the sample.
-   */
-  // const projectId = `The GCLOUD_PROJECT string, e.g. "my-gcloud-project"`;
-  // const computeRegion = `region-name, e.g. "us-central1"`;
-  // const modelId = `id of the model, e.g. “ICN12345”`;
-
-  // Get the full path of the model.
-  const modelFullId = client.modelPath(projectId, computeRegion, modelId);
-
-  // Delete a model.
-  const [operation] = await client.deleteModel({name: modelFullId});
-  const operationResponse = await operation.promise();
-  // The final result of the operation.
-  if (operationResponse[2].done === true) console.log('Model deleted.');
-
-  // [END automl_translation_delete_model]
-}
-
-async function getOperationStatus(operationFullId) {
-  // [START automl_translation_get_operation_status]
-  const automl = require('@google-cloud/automl');
-
-  const client = new automl.AutoMlClient();
-
-  /**
-   * TODO(developer): Uncomment the following line before running the sample.
-   */
-  // const operationFullId = `Full name of an operation, eg. “Projects/<projectId>/locations/us-central1/operations/<operationId>
-
-  // Get the latest state of a long-running operation.
-  const [responses] = await client.operationsClient.getOperation(
-    operationFullId
-  );
-  console.log(`Operation status: ${responses}`);
-  // [END automl_translation_get_operation_status]
-}
-
-require('yargs')
-  .demand(1)
-  .options({
-    computeRegion: {
-      alias: 'c',
-      type: 'string',
-      default: 'us-central1',
-      requiresArg: true,
-      description: 'region name e.g. "us-central1"',
-    },
-    datasetId: {
-      alias: 'i',
-      type: 'string',
-      requiresArg: true,
-      description: 'Id of the dataset',
-    },
-    filter: {
-      alias: 'f',
-      default: '',
-      type: 'string',
-      requiresArg: true,
-      description: 'Name of the Dataset to search for',
-    },
-    modelName: {
-      alias: 'm',
-      type: 'string',
-      default: false,
-      requiresArg: true,
-      description: 'Name of the model',
-    },
-    modelId: {
-      alias: 'a',
-      type: 'string',
-      default: '',
-      requiresArg: true,
-      description: 'Id of the model',
-    },
-    modelEvaluationId: {
-      alias: 'e',
-      type: 'string',
-      default: '',
-      requiresArg: true,
-      description: 'Id of the model evaluation',
-    },
-    operationFullId: {
-      alias: 'o',
-      type: 'string',
-      default: '',
-      requiresArg: true,
-      description: 'Full name of an operation',
-    },
-    projectId: {
-      alias: 'z',
-      type: 'number',
-      default: process.env.GCLOUD_PROJECT,
-      requiresArg: true,
-      description: 'The GCLOUD_PROJECT string, e.g. "my-gcloud-project"',
-    },
-  })
-  .command('create-model', 'creates a new Model', {}, opts =>
-    createModel(
-      opts.projectId,
-      opts.computeRegion,
-      opts.datasetId,
-      opts.modelName
-    )
-  )
-  .command(
-    'get-operation-status',
-    'Gets status of current operation',
-    {},
-    opts => getOperationStatus(opts.operationFullId)
-  )
-  .command('list-models', 'list all Models', {}, opts =>
-    listModels(opts.projectId, opts.computeRegion, opts.filter)
-  )
-  .command('get-model', 'Get a Model', {}, opts =>
-    getModel(opts.projectId, opts.computeRegion, opts.modelId)
-  )
-  .command('list-model-evaluations', 'List model evaluations', {}, opts =>
-    listModelEvaluations(
-      opts.projectId,
-      opts.computeRegion,
-      opts.modelId,
-      opts.filter
-    )
-  )
-  .command('get-model-evaluation', 'Get model evaluation', {}, opts =>
-    getModelEvaluation(
-      opts.projectId,
-      opts.computeRegion,
-      opts.modelId,
-      opts.modelEvaluationId
-    )
-  )
-  .command('delete-model', 'Delete a Model', {}, opts =>
-    deleteModel(opts.projectId, opts.computeRegion, opts.modelId)
-  )
-  .example('node $0 create-model -i "DatasetID" -m "myModelName"')
-  .example('node $0 get-operation-status -i "datasetId" -o "OperationFullID"')
-  .example('node $0 list-models -f "translationModelMetadata:*"')
-  .example('node $0 get-model -a "ModelID"')
-  .example('node $0 list-model-evaluations -a "ModelID"')
-  .example('node $0 get-model-evaluation -a "ModelId" -e "ModelEvaluationID"')
-  .example('node $0 delete-model -a "ModelID"')
-  .wrap(120)
-  .recommendCommands()
-  .help()
-  .strict().argv;
diff --git a/translate/automl/automlTranslationPredict.js b/translate/automl/automlTranslationPredict.js
deleted file mode 100644
index 54516237e0..0000000000
--- a/translate/automl/automlTranslationPredict.js
+++ /dev/null
@@ -1,141 +0,0 @@
-// Copyright 2018 Google LLC
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//      http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-/**
- * This application demonstrates how to perform basic operations on prediction
- * with the Google AutoML Translation API.
- *
- * For more information, see the documentation at
- * https://cloud.google.com/translate/automl/docs
- */
-
-'use strict';
-
-async function predict(
-  projectId,
-  computeRegion,
-  modelId,
-  filePath,
-  translationAllowFallback
-) {
-  // [START automl_translation_predict]
-  const automl = require('@google-cloud/automl');
-  const fs = require('fs');
-
-  // Create client for prediction service.
-  const client = new automl.PredictionServiceClient();
-
-  /**
-   * TODO(developer): Uncomment the following line before running the sample.
-   */
-  // const projectId = `The GCLOUD_PROJECT string, e.g. "my-gcloud-project"`;
-  // const computeRegion = `region-name, e.g. "us-central1"`;
-  // const modelId = `id of the model, e.g. “ICN12345”`;
-  // const filePath = `local text file path of content to be classified, e.g. "./resources/test.txt"`;
-  // const translationAllowFallback = `use Google translation model as fallback, e.g. "False" or "True"`;
-
-  // Get the full path of the model.
-  const modelFullId = client.modelPath(projectId, computeRegion, modelId);
-
-  // Read the file content for translation.
-  const content = fs.readFileSync(filePath, 'utf8');
-
-  // Set the payload by giving the content of the file.
-  const payload = {
-    textSnippet: {
-      content: content,
-    },
-  };
-
-  // Params is additional domain-specific parameters.
-  // TranslationAllowFallback allows to use Google translation model.
-  let params = {};
-  if (translationAllowFallback) {
-    params = {
-      translationAllowFallback: true,
-    };
-  }
-
-  const responses = await client.predict({
-    name: modelFullId,
-    payload: payload,
-    params: params,
-  });
-
-  const response = responses[0];
-  console.log(
-    'Translated Content: ',
-    response.payload[0].translation.translatedContent.content
-  );
-
-  // [END automl_translation_predict]
-}
-
-require('yargs')
-  .demand(1)
-  .options({
-    computeRegion: {
-      alias: 'c',
-      type: 'string',
-      default: 'us-central1',
-      requiresArg: true,
-      description: 'region name e.g. "us-central1"',
-    },
-    filePath: {
-      alias: 'f',
-      default: './resources/testInput.txt',
-      type: 'string',
-      requiresArg: true,
-      description: 'local text file path of the content to be classified',
-    },
-    modelId: {
-      alias: 'i',
-      type: 'string',
-      requiresArg: true,
-      description: 'Id of the model which will be used for text classification',
-    },
-    projectId: {
-      alias: 'z',
-      type: 'number',
-      default: process.env.GCLOUD_PROJECT,
-      requiresArg: true,
-      description: 'The GCLOUD_PROJECT string, e.g. "my-gcloud-project"',
-    },
-    translationAllowFallback: {
-      alias: 't',
-      type: 'string',
-      default: 'False',
-      requiresArg: true,
-      description:
-        'Use true if AutoML will fallback to use a Google translation model for' +
-        'translation requests if the specified AutoML translation model cannot' +
-        'serve the request. Use false to not use Google translation model.',
-    },
-  })
-  .command('predict', 'classify the content', {}, opts =>
-    predict(
-      opts.projectId,
-      opts.computeRegion,
-      opts.modelId,
-      opts.filePath,
-      opts.translationAllowFallback
-    )
-  )
-  .example(
-    'node $0 predict -i "modelId" -f "./resources/testInput.txt" -t "False"'
-  )
-  .wrap(120)
-  .recommendCommands()
-  .help()
-  .strict().argv;
diff --git a/translate/automl/resources/testInput.txt b/translate/automl/resources/testInput.txt
deleted file mode 100644
index acea938083..0000000000
--- a/translate/automl/resources/testInput.txt
+++ /dev/null
@@ -1 +0,0 @@
-Tell me how this ends
diff --git a/translate/test/automlTranslation.test.js b/translate/test/automlTranslation.test.js
deleted file mode 100644
index 89387549c5..0000000000
--- a/translate/test/automlTranslation.test.js
+++ /dev/null
@@ -1,129 +0,0 @@
-// Copyright 2018 Google LLC
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//      http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-'use strict';
-
-const {assert} = require('chai');
-const {describe, it} = require('mocha');
-const cp = require('child_process');
-
-const execSync = cmd => cp.execSync(cmd, {encoding: 'utf-8'});
-
-const cmdDataset = 'node automlTranslationDataset.js';
-const cmdModel = 'node automlTranslationModel.js';
-const cmdPredict = 'node automlTranslationPredict.js';
-
-const testDataSetName = 'testDataSet';
-const dummyDataSet = 'dummyDataSet';
-const testModelName = 'dummyModel';
-const sampleText = './resources/testInput.txt';
-const donotdeleteModelId = 'TRL188026453969732486';
-
-describe.skip('automl sample tests', () => {
-  it('should create a create, list, and delete a dataset', async () => {
-    // Check to see that this dataset does not yet exist
-    let output = execSync(`${cmdDataset} list-datasets`);
-    assert.match(output, new RegExp(testDataSetName));
-
-    // Create dataset
-    output = execSync(`${cmdDataset} create-dataset -n "${testDataSetName}"`);
-    const dataSetId = output.split('\n')[1].split(':')[1].trim();
-    assert.match(
-      output,
-      new RegExp(`Dataset display name:  ${testDataSetName}`)
-    );
-
-    // Delete dataset
-    output = execSync(`${cmdDataset} delete-dataset -i "${dataSetId}"`);
-    assert.match(output, /Dataset deleted./);
-  });
-
-  // We make two models running this test, see hard-coded workaround below
-  it('should create a dataset, import data, and start making a model', async () => {
-    // Check to see that this dataset does not yet exist
-    let output = execSync(`${cmdDataset} list-datasets`);
-    assert.notMatch(output, new RegExp(dummyDataSet));
-
-    // Create dataset
-    output = execSync(`${cmdDataset} create-dataset -n "${dummyDataSet}"`);
-    const dataSetId = output.split('\n')[1].split(':')[1].trim();
-    assert.match(output, new RegExp(`Dataset display name:  ${dummyDataSet}`));
-
-    // Import Data
-    output = execSync(
-      `${cmdDataset} import-data -i "${dataSetId}" -p "gs://nodejs-docs-samples-vcm/flowerTraindata20lines.csv"`
-    );
-    assert.match(output, /Data imported./);
-
-    // Check to make sure model doesn't already exist
-    output = execSync(`${cmdModel} list-models`);
-    assert.notMatch(output, testModelName);
-
-    // Begin training dataset, getting operation ID for next operation
-    output = execSync(
-      `${cmdModel} create-model -i "${dataSetId}" -m "${testModelName}" -t "2"`
-    );
-    const operationName = output.split('\n')[0].split(':')[1].trim();
-    assert.match(output, 'Training started...');
-
-    // Poll operation status, here confirming that operation is not complete yet
-    output = execSync(
-      `${cmdModel} get-operation-status -i "${dataSetId}" -o "${operationName}"`
-    );
-    assert.match(output, /done: false/);
-  });
-
-  it('should run get model (from a prexisting model)', async () => {
-    // Confirm dataset exists
-    let output = execSync(`${cmdDataset} list-datasets`);
-    assert.match(output, /me_do_not_delete/);
-
-    // List model evaluations, confirm model exists
-    output = execSync(
-      `${cmdModel} list-model-evaluations -a "${donotdeleteModelId}"`
-    );
-    assert.match(output, /translationEvaluationMetrics:/);
-
-    // Get model evaluation
-    output = execSync(`${cmdModel} get-model -a "${donotdeleteModelId}"`);
-    assert.match(output, /Model deployment state: DEPLOYED/);
-  });
-
-  it('should run Prediction from prexisting model', async () => {
-    // Confirm dataset exists
-    let output = execSync(`${cmdDataset} list-datasets`);
-    assert.match(output, /me_do_not_delete/);
-
-    // List model evaluations, confirm model exists
-    output = execSync(
-      `${cmdModel} list-model-evaluations -a "${donotdeleteModelId}"`
-    );
-    assert.match(output, 'translationEvaluationMetrics:');
-
-    // Run prediction on 'testImage.jpg' in resources folder
-    output = execSync(
-      `${cmdPredict} predict -i "${donotdeleteModelId}" -f "${sampleText}" -t "False"`
-    );
-    assert.match(
-      output,
-      /Translated Content: {2}これがどのように終わるか教えて/
-    );
-  });
-
-  // List datasets
-  it('should list datasets', async () => {
-    const output = execSync(`${cmdDataset} list-datasets`);
-    assert.match(output, /List of datasets:/);
-  });
-});