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# StreamingSampling.jl
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Documentation for [StreamingSampling](https://github.com/emmanuellujan/StreamingSampling.jl).
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StreamingSampling is a Julia-based proof-of-concept implementation of a streamed variant of maximum-entropy sampling ([UPmaxentropy](https://www.rdocumentation.org/packages/sampling/versions/2.11/topics/UPmaxentropy)). It is designed to process large datasets stored on disk with minimal impact on RAM. The method begins by computing first-order inclusion probabilities using a [DPP](https://dahtah.github.io/Determinantal.jl/dev/)-based heuristic, and then feeds these probabilities into the classical UPmaxentropy algorithm to produce diverse samples.
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<a href="https://julia.mit.edu/StreamingSampling.jl/dev/">
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<img alt="Development documentation" src="https://img.shields.io/badge/documentation-in%20development-orange?style=flat-square">
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<a href="https://mit-license.org">
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<img alt="MIT license" src="https://img.shields.io/badge/License-MIT-blue.svg?style=flat-square">
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<a href="https://github.com/cesmix-mit/PotentialLearning.jl/issues/new">
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