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- run : |
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julia --project=docs -e '
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using Documenter: DocMeta, doctest
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- using StatisticalMeasuresAPI
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- DocMeta.setdocmeta!(StatisticalMeasuresAPI , :DocTestSetup, :(using StatisticalMeasuresAPI ); recursive=true)
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- doctest(StatisticalMeasuresAPI )'
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+ using StatisticalMeasuresBase
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+ DocMeta.setdocmeta!(StatisticalMeasuresBase , :DocTestSetup, :(using StatisticalMeasuresBase ); recursive=true)
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+ doctest(StatisticalMeasuresBase )'
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# StatisticalMeasuresBase.jl
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- A Julia package for building production-ready measures (metrics) for statistics and machine learning.
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+ A Julia package for building production-ready measures (metrics) for statistics and machine learning
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[ ![ Build Status] ( https://github.com/JuliaAI/StatisticalMeasuresBase.jl/workflows/CI/badge.svg )] ( https://github.com/JuliaAI/StatisticalMeasuresBase.jl/actions )
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[ ![ Coverage] ( https://codecov.io/gh/JuliaAI/StatisticalMeasuresBase.jl/branch/master/graph/badge.svg )] ( https://codecov.io/github/JuliaAI/StatisticalMeasuresBase.jl?branch=master )
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[ ![ Docs] ( https://img.shields.io/badge/docs-dev-blue.svg )] ( https://juliaai.github.io/StatisticalMeasuresBase.jl/dev/ )
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- ## The main idea
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+ ## The main idea
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Here's an example of a simple statistical measure that can be applied to a pair of scalars:
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