/*
* 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 Vector = require('./Vector.js');
var gKernelP = kernelP;
/**
*
* @constructor
* @memberof module:eclairjs/mllib/linalg
*/
function Vectors() {
}
/**
* Creates a dense vector from its values.
* @param {number[] | number} value
* @param {...number} Optional otherValues (if value is not an array)
* @returns {module:eclairjs/mllib/linalg.Vector}
*/
Vectors.dense = function(value) {
var args = {
target: Vectors,
method: 'dense',
args: Utils.wrapArguments(arguments),
static: true,
kernelP: gKernelP,
returnType: Vector
};
return Utils.generate(args);
};
/**
* Creates a sparse vector providing its index array and value array.
*
* @param {integer} size vector size.
* @param {integer[]} indices index array, must be strictly increasing.
* @param {float[]} values value array, must have the same length as indices.
* @returns {module:eclairjs/mllib/linalg.Vector}
*/
Vectors.sparse = function(size,indices,values) {
var args ={
target: Vectors,
method: 'sparse',
args: Utils.wrapArguments(arguments),
static: true,
kernelP: gKernelP,
returnType: Vector
};
return Utils.generate(args);
};
Vectors.moduleLocation = '/mllib/linalg/Vectors';
return Vectors;
})();
};