Benchmark multi-model/multi-view models.

Note

This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the gallery for the big picture.

mmbench.workflow.rsa.benchmark_rsa_exp(dataset, datasetdir, outdir)[source]¶

Compare the learned latent space of different models using Representational Similarity Analysis (RSA).

Parameters

dataset : str

the dataset name: euaims or hbn.

datasetdir : str

the path to the dataset associated data.

outdir : str

the destination folder.

Notes

The samples are generated with the ‘bench-latent’ sub-command and are stored in the ‘outdir’ in a file named ‘latent_vecs_<dataset>.npz’.
The samples shape is (n_samples, n_subjects, latent_dim). All samples must have the same number of samples and subjects, but possibly different latent dimensions.