drcme.spca.spca_on_all_data

drcme.spca.spca_on_all_data(data_for_spca, spca_params, max_iter=500, eps_conv=0.0015)[source]

Compute sPCA for multiple data sets with specified parameters

Parameters

  • data_for_spca (dict) – Dictionary of feature vectors

  • spca_params (dict) – Dictionary of sPCA analysis parameters. Must have all the keys found in data_for_spca

  • max_iter (int, optional) – Maximum number of sPCA iterations (default 500)

  • eps_conv (float, optional) – Convergence criterion

Returns

Dictionary of dictionaries each containing sPCA results with keys: “loadings”: sPC loadings (n_features by n_components array), “pev”: adjusted explained variance (n_components-length array), “transformed values”: sPC-transformed values (n_samples by n_components array)

Return type

dict