UNPKG

@stdlib/ml

Version:

Machine learning algorithms.

113 lines (103 loc) 4.15 kB
/** * @license Apache-2.0 * * Copyright (c) 2018 The Stdlib Authors. * * 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. */ 'use strict'; // MODULES // var isObject = require( '@stdlib/assert/is-plain-object' ); var hasOwnProp = require( '@stdlib/assert/has-own-property' ); var isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive; var isArrayLike = require( '@stdlib/assert/is-array-like-object' ); var isPositiveInteger = require( '@stdlib/assert/is-positive-integer' ).isPrimitive; var contains = require( '@stdlib/assert/contains' ); var format = require( '@stdlib/string/format' ); var METRICS = require( './metrics.json' ); var INIT_METHODS = require( './init_methods.json' ); // MAIN // /** * Validates function options. * * @private * @param {Object} opts - destination object * @param {Options} options - function options * @param {string} [options.metric] - distance metric * @param {ArrayLikeObject} [options.init] - method for determining initial centroids * @param {boolean} [options.normalize] - boolean indicating whether to normalize incoming data * @param {boolean} [options.copy] - boolean indicating whether to copy incoming data to prevent mutation during normalization * @param {*} [options.seed] - PRNG seed * @returns {(Error|null)} null or an error object * * @example * var opts = {}; * var options = { * 'metric': 'euclidean', * 'init': [ 'kmeans++', 1, 1 ] * }; * var err = validate( opts, options ); * if ( err ) { * throw err; * } */ function validate( opts, options ) { if ( !isObject( options ) ) { return new TypeError( format( 'invalid argument. Options argument must be an object. Value: `%s`.', options ) ); } if ( hasOwnProp( options, 'metric' ) ) { opts.metric = options.metric; if ( !contains( METRICS, opts.metric ) ) { return new TypeError( format( 'invalid option. `%s` option must be one of the following: "%s". Option: `%s`.', 'metric', METRICS.join( '", "' ), opts.metric ) ); } } if ( hasOwnProp( options, 'init' ) ) { if ( !isArrayLike( options.init ) ) { return new TypeError( format( 'invalid option. `%s` option must be an array-like object. Option: `%s`.', 'init', options.init ) ); } if ( !contains( INIT_METHODS, options.init[ 0 ] ) ) { return new TypeError( format( 'invalid option. `%s` option method must be one of the following: "%s". Option: `%s`.', 'init', INIT_METHODS.join( '", "' ), options.init[ 0 ] ) ); } opts.init[ 0 ] = options.init[ 0 ]; if ( options.init.length > 1 ) { opts.init[ 1 ] = options.init[ 1 ]; if ( !isPositiveInteger( opts.init[ 1 ] ) ) { return new TypeError( format( 'invalid option. First `%s` parameter option must be a positive integer. Option: `%s`.', 'init', opts.init[ 1 ] ) ); } } if ( options.init.length > 2 ) { opts.init[ 2 ] = options.init[ 2 ]; if ( !isPositiveInteger( opts.init[ 2 ] ) ) { return new TypeError( format( 'invalid option. Second `%s` parameter option must be a positive integer. Option: `%s`.', 'init', opts.init[ 2 ] ) ); } } } if ( hasOwnProp( options, 'normalize' ) ) { opts.normalize = options.normalize; if ( !isBoolean( opts.normalize ) ) { return new TypeError( format( 'invalid option. `%s` option must be a boolean. Option: `%s`.', 'normalize', opts.normalize ) ); } } if ( hasOwnProp( options, 'copy' ) ) { opts.copy = options.copy; if ( !isBoolean( opts.copy ) ) { return new TypeError( format( 'invalid option. `%s` option must be a boolean. Option: `%s`.', 'copy', opts.copy ) ); } } if ( hasOwnProp( options, 'seed' ) ) { opts.seed = options.seed; } return null; } // EXPORTS // module.exports = validate;