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prediction_service.predict.js
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prediction_service.predict.js
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// Copyright 2022 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.
//
// ** This file is automatically generated by gapic-generator-typescript. **
// ** https://github.com/googleapis/gapic-generator-typescript **
// ** All changes to this file may be overwritten. **
'use strict';
function main(endpoint, instances) {
// [START aiplatform_v1_generated_PredictionService_Predict_async]
/**
* This snippet has been automatically generated and should be regarded as a code template only.
* It will require modifications to work.
* It may require correct/in-range values for request initialization.
* TODO(developer): Uncomment these variables before running the sample.
*/
/**
* Required. The name of the Endpoint requested to serve the prediction.
* Format:
* `projects/{project}/locations/{location}/endpoints/{endpoint}`
*/
// const endpoint = 'abc123'
/**
* Required. The instances that are the input to the prediction call.
* A DeployedModel may have an upper limit on the number of instances it
* supports per request, and when it is exceeded the prediction call errors
* in case of AutoML Models, or, in case of customer created Models, the
* behaviour is as documented by that Model.
* The schema of any single instance may be specified via Endpoint's
* DeployedModels' Model's google.cloud.aiplatform.v1.DeployedModel.model
* PredictSchemata's google.cloud.aiplatform.v1.Model.predict_schemata
* instance_schema_uri google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri.
*/
// const instances = 1234
/**
* The parameters that govern the prediction. The schema of the parameters may
* be specified via Endpoint's DeployedModels' Model's google.cloud.aiplatform.v1.DeployedModel.model
* PredictSchemata's google.cloud.aiplatform.v1.Model.predict_schemata
* parameters_schema_uri google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri.
*/
// const parameters = {}
// Imports the Aiplatform library
const {PredictionServiceClient} = require('@google-cloud/aiplatform').v1;
// Instantiates a client
const aiplatformClient = new PredictionServiceClient();
async function callPredict() {
// Construct request
const request = {
endpoint,
instances,
};
// Run request
const response = await aiplatformClient.predict(request);
console.log(response);
}
callPredict();
// [END aiplatform_v1_generated_PredictionService_Predict_async]
}
process.on('unhandledRejection', err => {
console.error(err.message);
process.exitCode = 1;
});
main(...process.argv.slice(2));