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SCG optimizer scale down to 1e-30

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Max Zwiessele 2013-06-04 15:33:24 +01:00
parent 85cada271e
commit e68d8d7f34
1 changed files with 1 additions and 1 deletions
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GPy/inference/SCG.py
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@ -63,7 +63,7 @@ def SCG(f, gradf, x, optargs=(), maxiters=500, max_f_eval=500, display=True, xto
success = True # Force calculation of directional derivs.
nsuccess = 0 # nsuccess counts number of successes.
beta = 1.0 # Initial scale parameter.
betamin = 1.0e-15 # Lower bound on scale.
betamin = 1.0e-30 # Lower bound on scale.
betamax = 1.0e100 # Upper bound on scale.
status = "Not converged"