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projectId = 'YOUR_PROJECT_ID',
computeRegion = 'YOUR_REGION_NAME',
modelId = 'MODEL_ID'
) {
// [START automl_vision_object_detection_deploy_model]
/**
* Demonstrates using the AutoML client to deploy model.
* TODO(developer): Uncomment the following lines before running the sample.
*/
// const projectId = '[PROJECT_ID]' e.g., "my-gcloud-project";
// const computeRegion = '[REGION_NAME]' e.g., "us-central1";
// const modelId = '[MODEL_ID]' e.g., "TEN5200971474357190656";
//Imports the Google Cloud Automl library
const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
// Instantiates a client
const automlClient = new AutoMlClient();
async function deployModel() {
// Get the full path of the model.
const modelFullId = automlClient.modelPath(
projectId,
computeRegion,
modelId
);
// Deploy a model with the deploy model request.
const [operation] = await automlClient.deployModel({name: modelFullId});
const [response] = await operation.promise();
console.log(`Deployment Details:`);
function main(operationFullId = 'OPERATION_FULL_ID') {
// [START automl_vision_object_detection_get_operation_status]
/**
* Demonstrates using the AutoML client to get operation status.
* TODO(developer): Uncomment the following lines before running the sample.
*/
// const operationFullId = '[OPERATION_FULL_ID]'
// eg., "projects//locations/us-central1/operations/",
// `Full name of an operation`;
//Imports the Google Cloud Automl library
const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
// Instantiates a client
const automlClient = new AutoMlClient();
async function getOperationStatus() {
// Get the latest state of a long-running operation.
const [response] = await automlClient.operationsClient.getOperation({
name: operationFullId,
});
console.log(`Operation details:`);
console.log(`\tName: ${response.name}`);
console.log(`\tMetadata:`);
console.log(`\t\tType Url: ${response.metadata.typeUrl}`);
console.log(`\tDone: ${response.done}`);
if (response.response) {
console.log(`\tResponse:`);
computeRegion = 'YOUR_REGION_NAME',
datasetId = 'YOUR_DATASET_ID',
gcsPath = 'GCS_PATH'
) {
// [START automl_vision_object_detection_import_data]
/**
* Demonstrates using the AutoML client to import labeled items.
* TODO(developer): Uncomment the following lines before running the sample.
*/
// const projectId = '[PROJECT_ID]' e.g., "my-gcloud-project";
// const computeRegion = '[REGION_NAME]' e.g., "us-central1";
// const datasetId = '[DATASET_ID]' e.g.,"IOD34216801856389120";
// const gcsPath = '[GCS_PATH]' e.g., "gs:///",
// `.csv paths in AutoML Vision Object Detection CSV format`;
//Imports the Google Cloud Automl library
const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
// Instantiates a client
const automlClient = new AutoMlClient();
async function importData() {
// Get the full path of the dataset.
const datasetFullId = automlClient.datasetPath(
projectId,
computeRegion,
datasetId
);
// Get the multiple Google Cloud Storage URIs.
const inputUris = gcsPath.split(`,`);
const inputConfig = {
gcsSource: {
inputUris: inputUris,
modelId = 'MODEL_ID',
modelEvaluationId = 'MODEL_EVALUATION_ID'
) {
// [START automl_vision_object_detection_get_model_evaluation]
/**
* Demonstrates using the AutoML client to get model evaluations.
* TODO(developer): Uncomment the following lines before running the sample.
*/
// const projectId = '[PROJECT_ID]' e.g., "my-gcloud-project";
// const computeRegion = '[REGION_NAME]' e.g., "us-central1";
// const modelId = '[MODEL_ID]' e.g., "IOD2122286140026257408";
// const modelEvaluationId = '[MODEL_EVALUATION_ID]'
// e.g., "3806191078210741236";
//Imports the Google Cloud Automl library
const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
// Instantiates a client
const automlClient = new AutoMlClient();
const math = require(`mathjs`);
async function getModelEvaluations() {
// Get the full path of the model evaluation.
const modelEvaluationFullId = automlClient.modelEvaluationPath(
projectId,
computeRegion,
modelId,
modelEvaluationId
);
// Get complete detail of the model evaluation.
async function main(
projectId = 'YOUR_PROJECT_ID',
computeRegion = 'YOUR_REGION_NAME',
datasetId = 'YOUR_DATASET_NAME',
modelName = 'YOUR_MODEL_NAME'
) {
// [START automl_language_entity_create_model]
const automl = require('@google-cloud/automl');
const client = new automl.v1beta1.AutoMlClient();
/**
* Demonstrates using the AutoML client to create a model.
* TODO(developer): Uncomment the following lines before running the sample.
*/
// const projectId = '[PROJECT_ID]' e.g., "my-gcloud-project";
// const computeRegion = '[REGION_NAME]' e.g., "us-central1";
// const datasetId = '[DATASET_ID]' e.g., "TEN8051890775971069952";
// const modelName = '[MODEL_NAME]' e.g., "myModel";
// A resource that represents Google Cloud Platform location.
const projectLocation = client.locationPath(projectId, computeRegion);
// Set datasetId, model name and model metadata for the dataset.
const myModel = {
displayName: modelName,
async function main(
projectId = 'YOUR_PROJECT_ID',
computeRegion = 'YOUR_REGION_NAME',
filter = 'YOUR_FILTER_EXPRESSION'
) {
// [START automl_language_entity_list_datasets]
const automl = require('@google-cloud/automl');
const util = require('util');
const client = new automl.v1beta1.AutoMlClient();
/**
* Demonstrates using the AutoML client to list all datasets.
* TODO(developer): Uncomment the following lines before running the sample.
*/
// const projectId = '[PROJECT_ID]' e.g., "my-gcloud-project";
// const computeRegion = '[REGION_NAME]' e.g., "us-central1";
// const filter_ = '[FILTER_EXPRESSIONS]'
// e.g., "textExtractionDatasetMetadata:*";
// 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.
client
.listDatasets({parent: projectLocation, filter: filter})
filter = 'FILTER_EXPRESSION'
) {
// [START automl_vision_object_detection_display_evaluation]
/**
* Demonstrates using the AutoML client to display model evaluation.
* TODO(developer): Uncomment the following lines before running the sample.
*/
// const projectId = '[PROJECT_ID]' e.g., "my-gcloud-project";
// const computeRegion = '[REGION_NAME]' e.g., "us-central1";
// const modelId = '[MODEL_ID]' e.g., "IOD2122286140026257408";
// const filter = '[FILTER_EXPRESSIONS]'
// e.g., "imageObjectDetectionModelMetadata:*";
const math = require(`mathjs`);
//Imports the Google Cloud Automl library
const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
// Instantiates a client
const automlClient = new AutoMlClient();
// Get the full path of the model.
const modelFullId = automlClient.modelPath(projectId, computeRegion, modelId);
// List all the model evaluations in the model by applying filter.
automlClient
.listModelEvaluations({parent: modelFullId, filter: filter})
.then(respond => {
const response = respond[0];
// Iterate through the results.
let modelEvaluationId = ``;
for (const element of response) {
// There is evaluation for each class in a model and for overall model.
function main(
projectId = 'YOUR_PROJECT_ID',
computeRegion = 'YOUR_REGION_NAME',
modelId = 'MODEL_ID'
) {
// [START automl_vision_object_detection_get_model]
/**
* Demonstrates using the AutoML client to get model details.
* TODO(developer): Uncomment the following lines before running the sample.
*/
// const projectId = '[PROJECT_ID]' e.g., "my-gcloud-project";
// const computeRegion = '[REGION_NAME]' e.g., "us-central1";
// const modelId = '[MODEL_ID]' e.g., "IOD1187015161160925184";
//Imports the Google Cloud Automl library
const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
// Instantiates a client
const automlClient = new AutoMlClient();
async function getModel() {
// Get the full path of the model.
const modelFullId = automlClient.modelPath(
projectId,
computeRegion,
modelId
);
// Get complete detail of the model.
const [response] = await automlClient.getModel({name: modelFullId});
// Display the model information.
function main(
projectId = 'YOUR_PROJECT_ID',
computeRegion = 'YOUR_REGION_NAME',
datasetName = 'YOUR_DATASET_NAME'
) {
// [START automl_vision_object_detection_create_dataset]
/**
* Demonstrates using the AutoML client to create a dataset.
* TODO(developer): Uncomment the following lines before running the sample.
*/
// const projectId = '[PROJECT_ID]' e.g., "my-gcloud-project";
// const computeRegion = '[REGION_NAME]' e.g., "us-central1";
// const datasetName = '[DATASET_NAME]' e.g., "myDataset";
//Imports the Google Cloud Automl library
const {AutoMlClient} = require('@google-cloud/automl').v1beta1;
// Instantiates a client
const automlClient = new AutoMlClient();
const util = require(`util`);
async function createDataset() {
// A resource that represents Google Cloud Platform location.
const projectLocation = automlClient.locationPath(projectId, computeRegion);
// Set dataset name and metadata.
const myDataset = {
displayName: datasetName,
imageObjectDetectionDatasetMetadata: {},
};
// Create a dataset with the dataset metadata in the region.
async function main(
projectId = 'YOUR_PROJECT_ID',
computeRegion = 'YOUR_REGION_NAME',
modelId = 'YOUR_MODEL_ID'
) {
// [START automl_language_sentiment_delete_model]
const automl = require('@google-cloud/automl');
const client = new automl.v1beta1.AutoMlClient();
/**
* Demonstrates using the AutoML client to delete a model.
* TODO(developer): Uncomment the following lines before running the sample.
*/
// const projectId = '[PROJECT_ID]' e.g., "my-gcloud-project";
// const computeRegion = '[REGION_NAME]' e.g., "us-central1";
// const modelId = '[MODEL_ID]' e.g., "TST5200971474357190656";
// Get the full path of the model.
const modelFullId = client.modelPath(projectId, computeRegion, modelId);
// Delete a model.
client
.deleteModel({name: modelFullId})
.then(responses => {