Any ideas how vectorise this?

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Harry Smith 2017-11-10

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https://ww2.mathworks.cn/matlabcentral/answers/366244-any-ideas-how-vectorise-this

评论： Harry Smith 2017-11-10

Playing around with stock selection algorithm, hit this thousands of times any idea how to vectorise this. Any help appreciated.

function distances = calDistances(stocks, geneVector, dayN)
defaultNoData = 100;
distances(length(stocks)) = 100;
% Calculate Distances
for stockN = 1 : length(stocks)
    % Get Stock Vector
    stockVector =  stocks(stockN).getStockVector(dayN);
    % No Stock Data Check
    if not(isnan(stockVector))
        % Euclidian Distance
        distances(stockN) = norm(stockVector - geneVector);
    else
        % Default no data
        distances(stockN) = defaultNoData;
    end
end

2 个评论
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Jan 2017-11-10

在 MATLAB Online 中打开

What is the purpose of "not(isnan(stockVector))"? Do you want:

if all(not(isnan(stockVector)))

?

Harry Smith 2017-11-10

Not all stocks have full data therefore to prevent an error in the euclidian distance I only use stocks with full data at that on that day, else default value

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Answer 1

Jan 2017-11-10

1
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/366244-any-ideas-how-vectorise-this#answer_290370

编辑：Jan 2017-11-10

在 MATLAB Online 中打开

At first a simplified version:

function distances = calDistances(stocks, geneVector, dayN)
defaultNoData = 100;
distances     = repmat(defaultNoData, 1, length(stocks));
% Calculate Distances
for stockN = 1 : length(stocks)
  % Get Stock Vector
  stockVector = stocks(stockN).getStockVector(dayN);
  % No Stock Data Check
  if all(isfinite(stockVector))
      % Euclidian Distance
      distances(stockN) = norm(stockVector - geneVector);
  end
end