node-nlp

<!doctype html> <html lang="en"> <head> <title>Code coverage report for lib/classifiers/classifier.js</title> <meta charset="utf-8" /> <link rel="stylesheet" href="..\..\prettify.css" /> <link rel="stylesheet" href="..\..\base.css" /> <meta name="viewport" content="width=device-width, initial-scale=1"> <style type='text/css'> .coverage-summary .sorter { background-image: url(..\..\sort-arrow-sprite.png); } </style> </head> <body> <div class='wrapper'> <div class='pad1'> <h1> <a href="..\..\index.html">All files</a> / <a href="index.html">lib/classifiers</a> classifier.js </h1> <div class='clearfix'> <div class='fl pad1y space-right2'> 100% Statements 47/47 </div> <div class='fl pad1y space-right2'> 100% Branches 18/18 </div> <div class='fl pad1y space-right2'> 100% Functions 12/12 </div> <div class='fl pad1y space-right2'> 100% Lines 46/46 </div> </div> </div> <div class='status-line high'></div> <pre><table class="coverage"> <tr><td class="line-count quiet">1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180</td><td class="line-coverage quiet">                                                                      218x 218x                 265x 265x 265x                   440x 135x 135x   440x                 440x 440x 440x                 13x 12x 12x 12x 7x 7x 2x 2x   7x                           6x 4x   2x 4x                 1x 1x 2x 1x     1x             1x                     624x 624x 1955x                 4x 4x 1x   3x                   48x 48x 370x 370x 370x 989x     48x       31x  </td><td class="text"><pre class="prettyprint lang-js">/* * 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. */   /** * Class for a generic classifier. * This is an abstract class that must be implemented by subclasses that * contains the real classifier algorithm. */ class Classifier { /** * Constructor of the class. * Initialize the basic properties and structure of any classifier. * @param {Object} settings Settings for initializing the instance. */ constructor(settings) { this.settings = settings || {}; this.clear(); }   /** * Clears the content of the instance. * This is done by initializing the observations object, the labels array * and the observation count. */ clear() { this.observations = {}; this.labels = []; this.observationCount = 0; }   /** * Adds a new label to the observation tree. If the label already exists, * return the existing one without creating it again. * @param {String} label Label to be created or getted. * @returns {String[]} List of observations assigned to this label. */ addLabel(label) { if (!this.observations[label]) { this.observations[label] = []; this.labels.push(label); } return this.observations[label]; }   /** * Adds a new observation to the classifier. * @param {String} observation Observation to be added. * @param {String} label Label of the observation. */ addObservation(observation, label) { const labelObservations = this.addLabel(label); labelObservations.push(observation); this.observationCount += 1; }   /** * Removes an observation from the observation list of a label. * @param {String} observation Observation to be removed. * @param {String} label Label where we want the observation to be removed. */ removeObservationByLabel(observation, label) { if (this.observations[label]) { const labelObservations = this.observations[label]; const index = labelObservations.indexOf(observation); if (index !== -1) { labelObservations.splice(index, 1); if (labelObservations.length === 0) { delete this.observations[label]; this.labels.splice(this.labels.indexOf(label), 1); } this.observationCount -= 1; } } }   /** * Removes an observation. The label of the observation can be passed or * can be omitted. When omitted, it loops over all labels tryin to remove * the given observation. * @param {String} observation Observation to be removed. * @param {String} label Label of the observation, or undefined to iterate over * all labels. */ removeObservation(observation, label) { if (label) { this.removeObservationByLabel(observation, label); } else { for (let i = 0; i < this.labels.length; i += 1) { this.removeObservationByLabel(observation, this.labels[i]); } } }   /** * Iterate all the observations to calculate the total observation count. */ recalculateObservationCount() { let count = 0; for (let i = 0, l = this.labels.length; i < l; i += 1) { if (this.observations[this.labels[i]]) { count += this.observations[this.labels[i]].length; } } this.observationCount = count; }   /** * Classify one observation. */ classifyObservation() { throw new Error( 'This method is not implemented. Must be implemented by child classes.' ); }   /** * Get all the labels and score for each label from one observation. * @param {String} observation Observation to be classified. * @returns {Object[]} Sorted array of classifications, that means label and the score. */ getClassifications(observation) { const labels = []; this.classifyObservation(observation, labels); return labels.sort((x, y) => y.value - x.value); }   /** * Given an observation, get the label and score of the best classification. * @param {String} observation Observation to be classified. * @returns {Object} Best classification of the observation. */ getBestClassification(observation) { const classifications = this.getClassifications(observation); if (!classifications || classifications.length === 0) { return undefined; } return classifications[0]; }   /** * Creates a matrix filled with zeros, that relate every single observation * with every single label. * @returns {Number[][]} A bidimensional array where x is the observation * and y is the label, filled to zeros. */ createClassificationMatrix() { const result = []; for (let i = 0; i < this.observationCount; i += 1) { const classification = []; result.push(classification); for (let j = 0, l = this.labels.length; j < l; j += 1) { classification.push(0); } } return result; } }   module.exports = Classifier;  </pre></td></tr> </table></pre> <div class='push'></div> </div> <div class='footer quiet pad2 space-top1 center small'> Code coverage generated by <a href="https://istanbul.js.org/" target="_blank">istanbul</a> at Fri Jan 25 2019 22:43:23 GMT+0100 (GMT+01:00) </div> </div> <script src="..\..\prettify.js"></script> <script> window.onload = function () { if (typeof prettyPrint === 'function') { prettyPrint(); } }; </script> <script src="..\..\sorter.js"></script> </body> </html>