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name = " AdvancedPS"
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uuid = " 576499cb-2369-40b2-a588-c64705576edc"
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authors = [" TuringLang" ]
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- version = " 0.3.2 "
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+ version = " 0.3.3 "
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[deps ]
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AbstractMCMC = " 80f14c24-f653-4e6a-9b94-39d6b0f70001"
Original file line number Diff line number Diff line change @@ -6,10 +6,3 @@ Observe sample `x` from distribution `dist` and yield its log-likelihood value.
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function observe (dist:: Distributions.Distribution , x)
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return Libtask. produce (Distributions. loglikelihood (dist, x))
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end
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-
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- function (instr:: Libtask.Instruction{typeof(observe)} )()
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- dist = Libtask. val (instr. input[1 ])
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- x = Libtask. val (instr. input[2 ])
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- result = Distributions. loglikelihood (dist, x)
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- return Libtask. internal_produce (instr, result)
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- end
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