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tidying in likelihoods
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4 changed files with 23 additions and 53 deletions
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@ -60,10 +60,9 @@ def student_t_approx(optimize=True, plot=True):
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m3['.*white'].constrain_fixed(1e-5)
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m3.randomize()
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debug = True
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print m3
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if debug:
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m3.optimize(messages=1)
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return m3
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#TODO: remove
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return m3
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#Student t GP model on corrupt data
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t_distribution = GPy.likelihoods.StudentT(deg_free=deg_free, sigma2=edited_real_sd)
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