Press n or j to go to the next uncovered block, b, p or k for the previous block.
| 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 | 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x | /**
* @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';
// MAIN //
/**
* Normalizes a vector by standardization.
*
* @private
* @param {NonNegativeInteger} N - number of elements
* @param {NumericArray} X - strided array
* @param {integer} strideX - stride
* @param {NonNegativeInteger} offsetX - index offset
* @param {NumericArray} mean - strided array containing the sample mean along each dimension
* @param {integer} strideM - stride
* @param {NonNegativeInteger} offsetM - index offset
* @param {NumericArray} stdev - strided array containing the standard deviation along each dimension
* @param {integer} strideS - stride
* @param {NonNegativeInteger} offsetS - index offset
* @returns {ndarray} input array
*/
function standardize( N, X, strideX, offsetX, mean, strideM, offsetM, stdev, strideS, offsetS ) { // eslint-disable-line max-len
var xi;
var mi;
var si;
var i;
// TODO: consider moving to an "extended" BLAS package
xi = offsetX;
mi = offsetM;
si = offsetS;
for ( i = 0; i < N; i++ ) {
X[ xi ] = ( X[ xi ] - mean[ mi ] ) / stdev[ si ];
xi += strideX;
mi += strideM;
si += strideS;
}
return X;
}
// EXPORTS //
module.exports = standardize;
|