Mercurial > pylearn
view pylearn/preprocessing/tests/test_pca.py @ 1531:88f361283a19 tip
Fix url/name to pylearn2.
author | Frederic Bastien <nouiz@nouiz.org> |
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date | Mon, 09 Sep 2013 10:08:05 -0400 |
parents | 3dee72c3055d |
children |
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import numpy from pylearn.preprocessing.pca import * def test_max_energy_fraction(): rng = numpy.random.RandomState(234) a = rng.randn(10,5) a[:,0] *=2 a+= 5 (eigvals, eigvecs), centered_a = pca_from_examples(a) assert len(eigvals)==5 vartot = eigvals.sum() def f(frac, n): (evals, evecs), c_a = pca_from_examples(a, max_energy_fraction=frac) assert len(evals)==n assert evals.sum() <= (frac * vartot + 1e-8) f(.87,1) f(.88,2) f(.99999999, 4) f(1.0, 5) f(.5, 0)