def test_eval_bootstrap_rdm(self):
from rsatoolbox.inference import eval_bootstrap_rdm
from rsatoolbox.rdm import RDMs
from rsatoolbox.model import ModelFixed
rdms = RDMs(np.random.rand(11, 10)) # 11 5x5 rdms
m = ModelFixed('test', rdms.get_vectors()[0])
eval_bootstrap_rdm(m, rdms, N=10)
eval_bootstrap_rdm(m, rdms, N=10, boot_noise_ceil=True)
def test_bootstrap_testset_rdm(self):
from rsatoolbox.inference import bootstrap_testset_rdm
from rsatoolbox.rdm import RDMs
from rsatoolbox.model import ModelFixed
rdms = RDMs(np.random.rand(11, 10)) # 11 5x5 rdms
m = ModelFixed('test', rdms.get_vectors()[0])
_, _ = bootstrap_testset_rdm(m,
rdms,
method='cosine',
fitter=None,
N=100,
rdm_descriptor=None)