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gericdonggericdong
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fix: delete unused tests and restore some more files
1 parent 8fee3d5 commit 3a0164d

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‎ai-platform/snippets/batch-read-feature-values-sample.js‎

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/*
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* Copyright 2022 Google LLC
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* https://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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/*
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* Batch reads Feature values from a Featurestore.
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* See https://cloud.google.com/vertex-ai/docs/featurestore/setup before running
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* the code snippet
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*/
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'use strict';
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async function main(
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project,
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featurestoreId,
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inputCsvFile,
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destinationTableUri,
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location = 'us-central1',
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apiEndpoint = 'us-central1-aiplatform.googleapis.com',
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timeout = 300000
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) {
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// [START aiplatform_batch_read_feature_values_sample]
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/**
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* TODO(developer): Uncomment these variables before running the sample.\
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* (Not necessary if passing values as arguments)
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*/
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// const project = 'YOUR_PROJECT_ID';
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// const featurestoreId = 'YOUR_FEATURESTORE_ID';
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// const inputCsvFile = 'YOUR_INPUT_CSV_FILE_URI';
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// const destinationTableUri = 'YOUR_BQ_DESTINATION_TABLE_URI';
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// const location = 'YOUR_PROJECT_LOCATION';
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// const apiEndpoint = 'YOUR_API_ENDPOINT';
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// const timeout = <TIMEOUT_IN_MILLI_SECONDS>;
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// Imports the Google Cloud Featurestore Service Client library
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const {FeaturestoreServiceClient} = require('@google-cloud/aiplatform').v1;
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// Specifies the location of the api endpoint
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const clientOptions = {
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apiEndpoint: apiEndpoint,
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};
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// Instantiates a client
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const featurestoreServiceClient = new FeaturestoreServiceClient(
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clientOptions
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);
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async function batchReadFeatureValues() {
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// Configure the featurestoreId resource
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const featurestore = `projects/${project}/locations/${location}/featurestores/${featurestoreId}`;
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const csvReadInstances = {
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gcsSource: {
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uris: [inputCsvFile],
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},
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};
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const destination = {
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bigqueryDestination: {
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// # Output to BigQuery table created earlier
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outputUri: destinationTableUri,
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},
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};
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const usersFeatureSelector = {
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idMatcher: {
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ids: [
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// features, use "*" if you want to select all features within this entity type
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'age',
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'gender',
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'liked_genres',
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],
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},
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};
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const usersEntityTypeSpec = {
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// Read the 'age', 'gender' and 'liked_genres' features from the 'perm_users' entity
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entityTypeId: 'perm_users',
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featureSelector: usersFeatureSelector,
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};
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const moviesFeatureSelector = {
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idMatcher: {
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ids: ['*'],
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},
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};
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const moviesEntityTypeSpec = {
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// Read the all features from the 'perm_movies' entity
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entityTypeId: 'perm_movies',
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featureSelector: moviesFeatureSelector,
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};
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const entityTypeSpecs = [usersEntityTypeSpec, moviesEntityTypeSpec];
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// Construct request
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const request = {
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featurestore: featurestore,
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csvReadInstances: csvReadInstances,
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destination: destination,
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entityTypeSpecs: entityTypeSpecs,
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};
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// Batch Read Feature Values Request
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const [operation] = await featurestoreServiceClient.batchReadFeatureValues(
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request,
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{timeout: Number(timeout)}
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);
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const [response] = await operation.promise();
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console.log('Batch read feature values response');
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console.log('Raw response:');
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console.log(JSON.stringify(response, null, 2));
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}
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batchReadFeatureValues();
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// [END aiplatform_batch_read_feature_values_sample]
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}
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process.on('unhandledRejection', err => {
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console.error(err.message);
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process.exitCode = 1;
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});
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main(...process.argv.slice(2));

‎ai-platform/snippets/get-custom-job.js‎

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/*
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* Copyright 2020 Google LLC
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* https://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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'use strict';
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async function main(customJobId, project, location = 'us-central1') {
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// [START aiplatform_get_custom_job_sample]
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/**
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* TODO(developer): Uncomment these variables before running the sample.\
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*/
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// const customJobId = 'YOUR_CUSTOM_JOB_ID';
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// const project = 'YOUR_PROJECT_ID';
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// const location = 'YOUR_PROJECT_LOCATION';
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// Imports the Google Cloud Job Service Client library
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const {JobServiceClient} = require('@google-cloud/aiplatform');
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// Specifies the location of the api endpoint
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const clientOptions = {
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apiEndpoint: 'us-central1-aiplatform.googleapis.com',
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};
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// Instantiates a client
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const jobServiceClient = new JobServiceClient(clientOptions);
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async function getCustomJob() {
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// Configure the name resource
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const name = `projects/${project}/locations/${location}/customJobs/${customJobId}`;
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const request = {
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name,
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};
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// Get custom job request
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const [response] = await jobServiceClient.getCustomJob(request);
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console.log('Get custom job response');
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console.log(`\t${JSON.stringify(response)}`);
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}
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getCustomJob();
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// [END aiplatform_get_custom_job_sample]
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}
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process.on('unhandledRejection', err => {
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console.error(err.message);
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process.exitCode = 1;
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});
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main(...process.argv.slice(2));

‎ai-platform/snippets/get-hyperparameter-tuning-job.js‎

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/*
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* Copyright 2021 Google LLC
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* https://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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'use strict';
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async function main(tuningJobId, project, location = 'us-central1') {
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// [START aiplatform_get_hyperparameter_tuning_job_sample]
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/**
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* TODO(developer): Uncomment these variables before running the sample.\
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* (Not necessary if passing values as arguments)
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*/
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// const tuningJobId = 'YOUR_TUNING_JOB_ID';
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// const project = 'YOUR_PROJECT_ID';
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// const location = 'YOUR_PROJECT_LOCATION';
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// Imports the Google Cloud Model Service Client library
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const {JobServiceClient} = require('@google-cloud/aiplatform');
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// Specifies the location of the api endpoint
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const clientOptions = {
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apiEndpoint: 'us-central1-aiplatform.googleapis.com',
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};
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// Instantiates a client
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const jobServiceClient = new JobServiceClient(clientOptions);
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async function getHyperparameterTuningJob() {
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// Configure the parent resource
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const name = jobServiceClient.hyperparameterTuningJobPath(
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project,
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location,
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tuningJobId
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);
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const request = {
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name,
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};
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// Get and print out a list of all the endpoints for this resource
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const [response] =
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await jobServiceClient.getHyperparameterTuningJob(request);
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console.log('Get hyperparameter tuning job response');
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console.log(`\tDisplay name: ${response.displayName}`);
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console.log(`\tTuning job resource name: ${response.name}`);
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console.log(`\tJob status: ${response.state}`);
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}
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getHyperparameterTuningJob();
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// [END aiplatform_get_hyperparameter_tuning_job_sample]
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}
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process.on('unhandledRejection', err => {
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console.error(err.message);
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process.exitCode = 1;
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});
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main(...process.argv.slice(2));

‎ai-platform/snippets/get-model-evaluation-video-action-recognition.js‎

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/*
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* Copyright 2021 Google LLC
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* https://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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'use strict';
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async function main(modelId, evaluationId, project, location = 'us-central1') {
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// [START aiplatform_get_model_evaluation_video_action_recognition_sample]
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/**
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* TODO(developer): Uncomment these variables before running the sample
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* (not necessary if passing values as arguments). To obtain evaluationId,
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* instantiate the client and run the following the commands.
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*/
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// const parentName = `projects/${project}/locations/${location}/models/${modelId}`;
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// const evalRequest = {
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// parent: parentName
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// };
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// const [evalResponse] = await modelServiceClient.listModelEvaluations(evalRequest);
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// console.log(evalResponse);
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// const modelId = 'YOUR_MODEL_ID';
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// const evaluationId = 'YOUR_EVALUATION_ID';
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// const project = 'YOUR_PROJECT_ID';
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// const location = 'YOUR_PROJECT_LOCATION';
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// Imports the Google Cloud Model Service Client library
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const {ModelServiceClient} = require('@google-cloud/aiplatform');
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// Specifies the location of the api endpoint
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const clientOptions = {
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apiEndpoint: 'us-central1-aiplatform.googleapis.com',
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};
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// Instantiates a client
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const modelServiceClient = new ModelServiceClient(clientOptions);
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async function getModelEvaluationVideoActionRecognition() {
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// Configure the parent resources
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const name = modelServiceClient.modelEvaluationPath(
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project,
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location,
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modelId,
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evaluationId
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);
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const request = {
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name,
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};
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// Create get model evaluation request
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const [response] = await modelServiceClient.getModelEvaluation(request);
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console.log('Get model evaluation video action recognition response');
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console.log(`\tName : ${response.name}`);
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console.log(`\tMetrics schema uri : ${response.metricsSchemaUri}`);
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console.log(`\tMetrics : ${JSON.stringify(response.metrics)}`);
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console.log(`\tCreate time : ${JSON.stringify(response.createTime)}`);
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console.log(`\tSlice dimensions : ${response.sliceDimensions}`);
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}
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getModelEvaluationVideoActionRecognition();
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// [END aiplatform_get_model_evaluation_video_action_recognition_sample]
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}
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process.on('unhandledRejection', err => {
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console.error(err.message);
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process.exitCode = 1;
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});
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main(...process.argv.slice(2));

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