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logging MAPCA subsampling #951

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Jun 15, 2023
Merged

logging MAPCA subsampling #951

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24 changes: 20 additions & 4 deletions tedana/decomposition/pca.py
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Original file line number Diff line number Diff line change
Expand Up @@ -103,11 +103,11 @@ def tedpca(
to select
Default is 'aic'.
kdaw : :obj:`float`, optional
Dimensionality augmentation weight for Kappa calculations. Must be a
non-negative float, or -1 (a special value). Default is 10.
Dimensionality augmentation weight for Kappa calculations when `algorithm` is
'kundu'. Must be a non-negative float, or -1 (a special value). Default is 10.
rdaw : :obj:`float`, optional
Dimensionality augmentation weight for Rho calculations. Must be a
non-negative float, or -1 (a special value). Default is 1.
Dimensionality augmentation weight for Rho calculations when `algorithm` is
'kundu'. Must be a non-negative float, or -1 (a special value). Default is 1.
verbose : :obj:`bool`, optional
Whether to output files from fitmodels_direct or not. Default: False
low_mem : :obj:`bool`, optional
Expand Down Expand Up @@ -309,6 +309,22 @@ def tedpca(
"explained_variance_total": varex_95_varexp,
},
}
if "subsampling_" in dir(ma_pca):
# Since older version of MAPCA did not log these values
# Check before trying to access the values. This will be
# unnecessary and removal once logging these values gets
# a new version number in MAPCA and tedana updates its
# minimum MAPCA version
mapca_results["MAPCA_subsampling"] = {
"calculated_IID_subsample_depth": ma_pca.subsampling_[
"calculated_IID_subsample_depth"
],
"calculated_IID_subsample_mean": ma_pca.subsampling_[
"calculated_IID_subsample_mean"
],
"effective_num_IID_samples": ma_pca.subsampling_["effective_num_IID_samples"],
"total_num_samples": ma_pca.subsampling_["total_num_samples"],
}

# Save dictionary
io_generator.save_file(mapca_results, "PCA cross component metrics json")
Expand Down