How to use

fill

function

in

LoDashStatic

_.fill(urls, config.test.mirror);

_.fill(names, self._config.name);

function fill(val, rows, cols) {
  return matrix(rows, cols, _.fill(new Array(rows * cols), val));
}

_.fill(array, (e) => 0);

/*
   prediction procedure for bayeslda
   INPUT:
    b          - object of type bayeslda
    x          - m*n matrix containing n feature vectors of size m*1

   OUTPUT:
    varargout  - if classify is called with one output argument an array
           containing the mean value of the predictive distribution
           for each example in x is returned
          - if classify is called with two output arguments the
           mean value and the variance of the predictive
           distribution are returned

   Author: Ulrich Hoffmann - EPFL, 2006
   Copyright: Ulrich Hoffmann - EPFL

   The algorithm implemented here was originally described by
   MacKay, D. J. C., 1992. Bayesian interpolation.
   Neural Computation 4 (3), pp. 415-447.
  */
  classify(featureVectors) {
    featureVectors.push(_.fill(Array(featureVectors[0].length), 1));
    featureVectors = matrix(featureVectors.length, featureVectors[0].length, _.flatten(featureVectors));

    const m = multiply(transpose(this.w), featureVectors);

    return m.data;
  }

featureVectors.push(_.fill(Array(featureVectors[0].length), 1));