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PointProcesses.jl/src/multivariate/independent_multivariate.jl
Lines 79 to 82 in 3abacf1
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PointProcesses.jl/src/multivariate/independent_multivariate.jl
Lines 104 to 108 in 3abacf1
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PointProcesses.jl/test/inhomogeneous_poisson_process.jl
Lines 1288 to 1290 in 3abacf1
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Codecov Report❌ Patch coverage is
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In
One reason is they are conceptually incorrect, the intensity is defined as dependent on the history. Should we raise a deprecation error or something like that? |
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Hi @JoseKling I'll try and take a look at this later in the week |
I would say until we have evidence for a solid user base for anything like this to just delete as we are pre v1. Anyc hanges we can document (which reminds me, we should keep a changelog) |
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about the changelog. Or do you mean something else? |
Related idea, but basically we would house a CHANGELOG.md per the keep a changelog project. It's basically the same thing but it tends to be more long format. But its not strictly necessary and we can use the same format for releases |
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There are a couple of lines not reached by the tests. Apart from that, any other issues here? |
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Just updated from main--I can take another look |
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@JoseKling there are 5 unresolved comments from above can you take a look at them and let me know if you agree/disagree? (I think they were missed because they were hidden) |
The interface is implemented. Maybe the names can be improved.
What I implemented:
AbstractMarkDistributiontype for mark distributions different from the ones inDistributions.jl.PointProcessMarkDistributionalias forUnion{AbstractMarkDistribution,Distribution}.mark_distribution-> The distribution of marks at some timetand after historyh.sample_mark-> Sample frommark_distribution. Standard implementation assumes the result ofmark_distributionhas the methodrand.densityof-> for markmat timetafter historyh. Standard implementation assumes result ofmark_distributionhas methoddensityof.fit-> Fit the distribution to a historyh. For processes whose event times are independent of the marks.eltype-> Used to initialize empty histories. Standard implementation assumes result ofmark_distributionhas methodeltype.CustomProcessespage to the docs.