def test_fit(self):
from pyrsa.rdm import RDMs
rdm = np.random.rand(2, 6)
pattern_descriptors = {'test': ['a', 'b', 'c', 'd']}
rdm_descriptors = {'ind': np.array([1, 2])}
rdm_obj = RDMs(rdm,
dissimilarity_measure='euclid',
pattern_descriptors=pattern_descriptors,
rdm_descriptors=rdm_descriptors)
m = model.ModelWeighted('Test Model', rdm_obj)
train = rdm_obj.subset('ind', 2)
theta = m.fit(train)
def test_fit(self):
from pyrsa.rdm import RDMs
rdm = np.random.rand(5, 15)
pattern_descriptors = {'test': ['a', 'b', 'c', 'd', 'e', 'f']}
rdm_descriptors = {'ind': np.array([1, 2, 3, 1, 2])}
rdm_obj = RDMs(rdm,
dissimilarity_measure='euclid',
pattern_descriptors=pattern_descriptors,
rdm_descriptors=rdm_descriptors)
m = model.ModelInterpolate('Test Model', rdm_obj)
train = rdm_obj.subset('ind', 2)
theta = m.fit(train)
pre = m.predict(theta)