build/modelscript.umd.js
function gradientFunction(
              data,
              evaluatedData,
              params,
              gradientDifference,
              paramFunction
            ) {
              const n = params.length;
              const m = data.x.length;

              var ans = new Array(n);

              for (var param = 0; param < n; param++) {
                ans[param] = new Array(m);
                var auxParams = params.concat();
                auxParams[param] += gradientDifference;
                var funcParam = paramFunction(auxParams);

                for (var point = 0; point < m; point++) {
                  ans[param][point] = evaluatedData[point] - funcParam(data.x[point]);
                }
              }
              return new require$$0$2.Matrix(ans);
            }
function gradientFunction(
              data,
              evaluatedData,
              params,
              gradientDifference,
              paramFunction
            ) {
              const n = params.length;
              const m = data.x.length;

              var ans = new Array(n);

              for (var param = 0; param < n; param++) {
                ans[param] = new Array(m);
                var auxParams = params.concat();
                auxParams[param] += gradientDifference;
                var funcParam = paramFunction(auxParams);

                for (var point = 0; point < m; point++) {
                  ans[param][point] = evaluatedData[point] - funcParam(data.x[point]);
                }
              }
              return new require$$0$2.Matrix(ans);
            }
function gradientFunction ( data , evaluatedData , params , gradientDifference , paramFunction ) { const n = params . length ; const m = data . x . length ; var ans = new Array ( n ) ; for ( var param = 0 ; param < n ; param ++ ) { ans [ param ] = new Array ( m ) ; var auxParams = params . concat ( ) ; auxParams [ param ] += gradientDifference ; var funcParam = paramFunction ( auxParams ) ; for ( var point = 0 ; point < m ; point ++ ) { ans [ param ] [ point ] = evaluatedData [ point ] - funcParam ( data . x [ point ] ) ; } } return new require$$0$2 . Matrix ( ans ) ; }
Difference of the matrix function over the parameters
@ignore
@param {{x:Array<number>, y:Array<number>}} data - Array of points to fit in the format [x1, x2, ... ], [y1, y2, ... ]
@param {Array<number>} evaluatedData - Array of previous evaluated function values
@param {Array<number>} params - Array of previous parameter values
@param {number} gradientDifference - Adjustment for decrease the damping parameter
@param {function} paramFunction - The parameters and returns a function with the independent variable as a parameter
@return {Matrix}
Difference of the matrix function over the parameters