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language_sentiment_analysis_create_model.js
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language_sentiment_analysis_create_model.js
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// Copyright 2019 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
//
// https://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';
function main(
projectId = 'YOUR_PROJECT_ID',
location = 'us-central1',
datasetId = 'YOUR_DATASET_ID',
displayName = 'YOUR_DISPLAY_NAME'
) {
// [START automl_language_sentiment_analysis_create_model]
/**
* TODO(developer): Uncomment these variables before running the sample.
*/
// const projectId = 'YOUR_PROJECT_ID';
// const location = 'us-central1';
// const dataset_id = 'YOUR_DATASET_ID';
// const displayName = 'YOUR_DISPLAY_NAME';
// Imports the Google Cloud AutoML library
const {AutoMlClient} = require('@google-cloud/automl').v1;
// Instantiates a client
const client = new AutoMlClient();
async function createModel() {
// Construct request
const request = {
parent: client.locationPath(projectId, location),
model: {
displayName: displayName,
datasetId: datasetId,
textSentimentModelMetadata: {}, // Leave unset, to use the default base model
},
};
// Don't wait for the LRO
const [operation] = await client.createModel(request);
console.log(`Training started... ${operation}`);
console.log(`Training operation name: ${operation.name}`);
}
createModel();
// [END automl_language_sentiment_analysis_create_model]
}
process.on('unhandledRejection', err => {
console.error(err.message);
process.exitCode = 1;
});
main(...process.argv.slice(2));