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Implement weighted sampling without replacement #596

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dhardy opened this issue Aug 29, 2018 · 1 comment
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Implement weighted sampling without replacement #596

dhardy opened this issue Aug 29, 2018 · 1 comment
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E-help-wanted Participation: help wanted F-new-int Functionality: new, within Rand T-sequences Topic: sequences
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0.8 release

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@dhardy
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dhardy commented Aug 29, 2018 •
edited

See here.

Example:

Very simple example: I have 1kk users with their weights. And I should select only 100 unique users.
@dhardy dhardy mentioned this issue Aug 29, 2018
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@dhardy dhardy added F-new-int Functionality: new, within Rand T-sequences Topic: sequences E-help-wanted Participation: help wanted labels Aug 29, 2018
@dhardy dhardy mentioned this issue Jan 28, 2019
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@dhardy dhardy mentioned this issue Sep 16, 2019
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@zrneely zrneely mentioned this issue May 11, 2020
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@vks
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vks commented Aug 28, 2020

Implemented in #1013.

@vks vks closed this as completed Aug 28, 2020
@vks vks added this to the 0.8 release milestone Aug 31, 2020
@OliverEvans96 OliverEvans96 mentioned this issue Jan 7, 2022
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Add SliceRandom::choose_multiple_weighted, implementing weighted sampling without replacement
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@vks @dhardy