Created
March 8, 2019 02:07
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import numpy as np | |
import numpy.linalg as linalg | |
import logging | |
def jitchol(A, maxtries=6): | |
A = np.ascontiguousarray(A) | |
diagA = np.diag(A) | |
if np.any(diagA <= 0.): | |
raise linalg.LinAlgError("not pd: non-positive diagonal elements") | |
jitter = diagA.mean() * 1e-6 | |
num_tries = 1 | |
while num_tries <= maxtries and np.isfinite(jitter): | |
try: | |
L = linalg.cholesky(A + np.eye(A.shape[0]) * jitter) # , lower=True) | |
if num_tries > 1: | |
logging.info("solved jitchol with {} tries".format(num_tries)) | |
return L | |
except linalg.LinAlgError: | |
jitter *= 10 | |
finally: | |
num_tries += 1 | |
raise linalg.LinAlgError("not positive definite, even with jitter of {}.".format(jitter)) | |
# TODO: which one do I actually want? | |
import traceback | |
try: raise | |
except: | |
logging.warning('\n'.join(['Added jitter of {:.10e}'.format(jitter), | |
' in '+traceback.format_list(traceback.extract_stack(limit=3)[-2:-1])[0][2:]])) | |
return L | |
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