document Random samplers: continuation of #31787 #31990
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This was missed in JuliaLang#31787.
it is just confusing at this stage.
Closed
rfourquet
reviewed
May 11, 2019
rfourquet
added
randomness
rfourquet
reviewed
May 11, 2019
| @@ -84,13 +84,20 @@ Generating random values for some distributions may involve various trade-offs. | |||
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| The `Random` module defines a customizable framework for obtaining random values that can address these issues. Each invocation of `rand` generates a *sampler* which can be customized with the above trade-offs in mind, by adding methods to `Sampler`, which in turn can dispatch on the random number generator, the object that characterizes the distribution, and a suggestion for the number of repetitions. Currently, for the latter, `Val{1}` (for a single sample) and `Val{Inf}` (for an arbitrary number) are used, with `Random.Repetition` an alias for both. | |||
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| The object returned by `Sampler` is then used to generate the random values, by a method of `rand` defined for this purpose. Samplers can be arbitrary values, but for most applications the following predefined samplers may be sufficient: | |||
| The object returned by `Sampler` is then used to generate the random values. When implementing the random generation interface for a value `X::T` that can be sampled from, the implementor should define the method | |||
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in X::T, the T is not used later right? then you could remove it (only if you push again to this branch for other reasons before we merge, no need to re-trigger CI only for this).
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I see no other outstanding changes, so I pushed a commit with this one. I am hoping the PR can be accepted now.
rfourquet
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Also fix the overlooked issues in the discussion of #31787.
In addition, incidental clarifications and typo fixes.
@rfourquet