butbut55 - 経済統計練習帳

function queryHostedModel() {
  // When querying hosted models you must always use this
  // specific project number.
  var projectNumber = '414649711441';
  var hostedModelName = 'sample.sentiment';
 
  // Query the hosted model with a positive statement.
  var predictionString = 'Want to go to the park this weekend?';
  var prediction = Prediction.Hostedmodels.predict(
      {
        input: {
          csvInstance: [predictionString]
        }
      },
      projectNumber,
      hostedModelName);
  // Logs Sentiment: positive.
  Logger.log('Sentiment: ' + prediction.outputLabel);
 
  // Now query the hosted model with a negative statement.
  predictionString = 'You are not very nice!';
  prediction = Prediction.Hostedmodels.predict(
      {
        input: {
          csvInstance: [predictionString]
        }
      },
      projectNumber,
      hostedModelName);
  // Logs Sentiment: negative.
  Logger.log('Sentiment: ' + prediction.outputLabel);
}
 
function createNewModel() {
  // Replace this value with the project number listed in the Google
  // APIs Console project.
  var projectNumber = 'XXXXXXXX';
  var id = 'mylanguageidmodel';
  var storageDataLocation = 'languageidsample/language_id.txt';
 
  // Returns immediately. Training happens asynchronously.
  var result = Prediction.Trainedmodels.insert(
      {
        id: id,
        storageDataLocation: storageDataLocation
      },
      projectNumber);
  Logger.log(result);
}
 
function queryTrainingStatus() {
  // Replace this value with the project number listed in the Google
  // APIs Console project.
  var projectNumber = 'XXXXXXXX';
  var id = 'mylanguageidmodel';
 
  var result = Prediction.Trainedmodels.get(projectNumber, id);
  Logger.log(result.trainingStatus);
}
 
function queryTrainedModel() {
  // Replace this value with the project number listed in the Google
  // APIs Console project.
  var projectNumber = 'XXXXXXXX';
  var id = 'mylanguageidmodel';
  var query = 'Este es un mensaje de prueba de ejemplo';
 
  var prediction = Prediction.Trainedmodels.predict(
      {
        input:
          {
            csvInstance: [query]
          }
      },
      projectNumber,
      id);
  // Logs Language: Spanish.
  Logger.log('Language: ' + prediction.outputLabel);
}