Source: mllib/classification/NaiveBayesModel.js

/*
 * Copyright 2016 IBM Corp.
 *
 * 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
 *
 *      http://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.
 */

module.exports = function(kernelP) {
  return (function() {
    var Utils = require('../../utils.js');

    var gKernelP = kernelP;

    /**
     * Model for Naive Bayes Classifiers.
     *
     * @memberof module:eclairjs/mllib/classification
     * @classdesc
     *
     * @constructor
     * @implements {ClassificationModel}
     */
    function NaiveBayesModel() {
      Utils.handleConstructor(this, arguments, gKernelP);
    }

    /**
     * Predict values for the given data set using the model trained.
     *
     * @param {module:eclairjs/rdd.RDD | Vector} testData  RDD representing data points to be predicted or Vector array representing a single data point
     * @returns {module:eclairjs/rdd.RDD | float}  an RDD[Double] where each entry contains the corresponding prediction or float predicted category from the trained model
     */
    NaiveBayesModel.prototype.predict = function(testData) {
      throw "not implemented by ElairJS";
    };

    /**
     * Predict values for the given data set using the model trained.
     *
     * @param {module:eclairjs/rdd.RDD | Vector} testData  RDD representing data points to be predicted
     *         in the same order as class labels
     * @returns {module:eclairjs/rdd.RDD | Vector}  an RDD[Vector] where each entry contains the predicted posterior class probabilities,
     */
    NaiveBayesModel.prototype.predictProbabilities = function(testData) {
      throw "not implemented by ElairJS";
    };


    /**
     * @param {module:eclairjs.SparkContext} sc
     * @param {string} path
     * @returns {Promise.<Void>} A Promise that resolves to nothing.
     */
    NaiveBayesModel.prototype.save = function(sc,path) {
      throw "not implemented by ElairJS";
    };

    NaiveBayesModel.moduleLocation = '/mllib/classification#NaiveBayesModel';

    return NaiveBayesModel;
  })();
};