Control how bins are represented when using `BinnedResampling` - Githubissues

kahaaga / UncertainData.jl

Working efficiently with datasets where observations have associated uncertainties.

https://kahaaga.github.io/UncertainData.jl/dev

MIT License

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Control how bins are represented when using `BinnedResampling` #135

Closed kahaaga closed 4 years ago

kahaaga commented 4 years ago

The user should be able to control what happens to the values in each bin when using resample(::AbstractUncertainIndexValueDataset, ::BinnedResampling).

This can easily be solved by adding an optional bin_repr field to the BinnedResampling struct, which dictates the bin representation. bin_repr can be a type indicating the representation

UncertainScalarKDE for KDE estimation
UncertainScalarPopulation for an equiprobable population.
RawValues for just returning the raw samples for each bin (if so, need to implement this type too).

kahaaga commented 4 years ago

Solved in #137