text: /*
   * Copyright (c) AXA Shared Services Spain S.A.
   *
   * Permission is hereby granted, free of charge, to any person obtaining
   * a copy of this software and associated documentation files (the
   * "Software"), to deal in the Software without restriction, including
   * without limitation the rights to use, copy, modify, merge, publish,
   * distribute, sublicense, and/or sell copies of the Software, and to
   * permit persons to whom the Software is furnished to do so, subject to
   * the following conditions:
   *
   * The above copyright notice and this permission notice shall be
   * included in all copies or substantial portions of the Software.
   *
   * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
   * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
   * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
   * NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
   * LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
   * OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
   * WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
   */
  
  const BaseNLU = require('./base-nlu');
  const BinaryNeuralNetworkClassifier = require('../classifiers/binary-neural-network-classifier');
  
  /**
   * Class for the Logistic Regression NLU
   */
  class BinaryNeuralNetworkNLU extends BaseNLU {
    /**
     * Constructor of the class.
     * @param {Object} settings Settings for this instance.
     */
    constructor(settings) {
      super(settings);
      this.classifier =
        this.settings.classifier || new BinaryNeuralNetworkClassifier();
    }
  
    /**
     * Train the classifier
     */
    async train() {
      const mustTrain = this.isEditing ? this.endEdit() : true;
      if (!mustTrain) {
        return false;
      }
      this.classifier.clear();
      const input = [];
      this.docs.forEach(doc => {
        input.push({
          input: this.textToFeatures(doc.tokens),
          output: doc.intent,
        });
      });
      if (input.length > 0) {
        await this.classifier.trainBatch(input);
        return true;
      }
      return false;
    }
  
    /**
     * Get all the labels and score for each label from this utterance.
     * @param {String} utterance Utterance to be classified.
     * @returns {Object[]} Sorted array of classifications, with label and score.
     */
    getClassifications(utterance) {
      return this.normalizeNeural(
        this.classifier.getClassifications(this.textToFeatures(utterance))
      );
    }
  }
  
  BaseNLU.classes.BinaryNeuralNetworkNLU = BinaryNeuralNetworkNLU;
  
  module.exports = BinaryNeuralNetworkNLU;
  