- Verify compute_mapping Implementation: Ensure that the compute_mapping function is correctly implemented to handle PCA. It should call the pca function with the correct number of arguments. Here's a simplified example of how compute_mapping might handle PCA:
I'm getting an error when I was using compute_mapping function for pca, please give me any suggestions how can I solve it?
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Error using internal.stats.parseArgs (line 42)
Wrong number of arguments.
Error in pca (line 174)
= internal.stats.parseArgs(paramNames, defaults, varargin{:});
Error in compute_mapping (line 309)
if isempty(varargin), [mappedA, mapping] = pca(A, no_dims);
Error in run_feature (line 34)
[P_A_feature, mapping1] = compute_mapping(P_A_feature, 'PCA', 28); //this is the code i wrote
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回答 (1 件)
Aditya
2025 年 2 月 4 日
Hi Bhawna,
The error message you're encountering suggests that there's an issue with the number of arguments being passed to a function, likely the pca function. In your case, it seems to be related to how compute_mapping is calling pca.
To troubleshoot and resolve this issue, let's go through a few steps:
function [mappedA, mapping] = compute_mapping(A, method, no_dims)
if strcmpi(method, 'PCA')
[coeff, score, latent, tsquared, explained, mu] = pca(A, 'NumComponents', no_dims);
mappedA = score; % The transformed data
mapping.coeff = coeff;
mapping.latent = latent;
mapping.explained = explained;
mapping.mu = mu;
else
error('Unknown method.');
end
end
2. Arguments for pca: The pca function in MATLAB can take additional parameters, such as 'NumComponents', to specify the number of principal components. Make sure these parameters are correctly passed.
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