time-to-botec

Benchmark sampling in different programming languages
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main.js (1712B)


      1 /**
      2 * @license Apache-2.0
      3 *
      4 * Copyright (c) 2018 The Stdlib Authors.
      5 *
      6 * Licensed under the Apache License, Version 2.0 (the "License");
      7 * you may not use this file except in compliance with the License.
      8 * You may obtain a copy of the License at
      9 *
     10 *    http://www.apache.org/licenses/LICENSE-2.0
     11 *
     12 * Unless required by applicable law or agreed to in writing, software
     13 * distributed under the License is distributed on an "AS IS" BASIS,
     14 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     15 * See the License for the specific language governing permissions and
     16 * limitations under the License.
     17 */
     18 
     19 'use strict';
     20 
     21 // MODULES //
     22 
     23 var abs = require( '@stdlib/math/base/special/abs' );
     24 var incrmean = require( './../../../incr/mean' );
     25 
     26 
     27 // MAIN //
     28 
     29 /**
     30 * Returns an accumulator function which incrementally computes the mean absolute error.
     31 *
     32 * @returns {Function} accumulator function
     33 *
     34 * @example
     35 * var accumulator = incrmae();
     36 *
     37 * var m = accumulator();
     38 * // returns null
     39 *
     40 * m = accumulator( 2.0, 3.0 );
     41 * // returns 1.0
     42 *
     43 * m = accumulator( -5.0, 2.0 );
     44 * // returns 4.0
     45 *
     46 * m = accumulator();
     47 * // returns 4.0
     48 */
     49 function incrmae() {
     50 	var mean = incrmean();
     51 	return accumulator;
     52 
     53 	/**
     54 	* If provided input values, the accumulator function returns an updated mean absolute error. If not provided input values, the accumulator function returns the current mean absolute error.
     55 	*
     56 	* @private
     57 	* @param {number} [x] - input value
     58 	* @param {number} [y] - input value
     59 	* @returns {(number|null)} mean absolute error or null
     60 	*/
     61 	function accumulator( x, y ) {
     62 		if ( arguments.length === 0 ) {
     63 			return mean();
     64 		}
     65 		return mean( abs( y-x ) );
     66 	}
     67 }
     68 
     69 
     70 // EXPORTS //
     71 
     72 module.exports = incrmae;