usage: __main__.py [-h] [--single_compare matrix] [--normalize]
[--indent INDENT] [--sort_keys]
[-v [{DEBUG,INFO,WARNING,ERROR}]] [-f]
in_matrices [in_matrices ...] out_json
Evaluate pair-wise similarity measures of connectivity matrices.
The computed similarity measures are:
- RMSE: root-mean-square difference
- Pearson correlation coefficent
- w-dice: weighted dice, agreement of the values.
- dice: agreement of the binarized matrices
If more than two matrices are given in input, the similarity measures will be
computed for each pair. Alternatively, you can compare all matrices to a
single reference, using --single_compare.
positional arguments:
in_matrices Path of the input matricies.
out_json Path of the output json file.
options:
-h, --help show this help message and exit
--single_compare matrix
Compare inputs to this single file.
(Else, compute all pairs in in_matrices).
--normalize If set, will normalize all matrices from zero to one.
-v [{DEBUG,INFO,WARNING,ERROR}]
Produces verbose output depending on the provided level.
Default level is warning, default when using -v is info.
-f Force overwriting of the output files.
Json options:
--indent INDENT Indent for json pretty print.
--sort_keys Sort keys in output json.
2.2.2