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run.py
bayesian_ml/3/run.py:None–None ·
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# variational-inference for linear regression
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# y(i) ~ N( x(i).dot(w), 1/lambda )
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# w ~ N( 0, diag(alpha_1, alpha_2, ..., alpha_D)^-1 )
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# alpha_i ~ Gamma(a, b)
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run
Function · 0.85
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