Creating a clean anomaly detector

clean_anomaly.js

/*
 * Creating a clean anomaly detector
 */

var bigml = require('bigml');

// Simplest anomaly detector
new bigml.Source().create('sales.csv', undefined, function(error, source) {
  new bigml.Dataset().create(source, undefined, function(error, dataset) {
    new bigml.Anomaly().create(dataset, undefined, function(error, anomaly) {
      new bigml.Dataset().get(dataset, true, function(error, dataset) {
          // asssign score to each instance
          var args = {output_dataset: true,
                      output_fields: dataset.object['input_fields']};
          new bigml.BatchAnomalyScore().create(anomaly, dataset, args, function (error, batchAnomalyScore) {
            new bigml.BatchAnomalyScore().get(batchAnomalyScore, true, function(error, batchAnomalyScore) {
              var generatedDataset = batchAnomalyScore.object['output_dataset_resource'];
              var excludeExpression = {excluded_fields: ["score"],
                                       json_filter: ["<", ["f", "score"], 0.6]};
              new bigml.Dataset().create(generatedDataset, excludeExpression, function(error, cleanDataset) {
                var anomalyConnection = new bigml.Anomaly();
                var cleanAnomalyDetector = anomalyConnection.create(cleanDataset, undefined, function(error, cleanAnomalyDetector) {
                  anomalyConnection.get(cleanAnomalyDetector, true, function(error, data) {
                    console.log("The clean anomaly detector was created. It's ID is: ", cleanAnomalyDetector.resource);
                  });
                });
              });
           });
         });
      });
    });
  });
});