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fix links for patterns to point to LearnTestAPI.jl
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‎docs/src/patterns/classification.md‎

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# Classification
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See these examples from tests:
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See these examples from the JuliaTestAPI.jl test suite:
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- [perceptron classifier](https://github.com/JuliaAI/LearnAPI.jl/blob/dev/test/patterns/gradient_descent.jl)
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- [perceptron
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classifier](https://github.com/JuliaAI/LearnTestAPI.jl/blob/dev/test/patterns/gradient_descent.jl)

‎docs/src/patterns/density_estimation.md‎

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# Density Estimation
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See these examples from tests:
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See these examples from the JuliaTestAPI.jl test suite:
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- [normal distribution estimator](https://github.com/JuliaAI/LearnAPI.jl/blob/dev/test/patterns/incremental_algorithms.jl)
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- [normal distribution estimator](https://github.com/JuliaAI/LearnTestAPI.jl/blob/dev/test/patterns/incremental_algorithms.jl)

‎docs/src/patterns/ensembling.md‎

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# Ensembling
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See [this
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example](https://github.com/JuliaAI/LearnAPI.jl/blob/dev/test/patterns/ensembling.jl)
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from tests.
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See these examples from the JuliaTestAPI.jl test suite:
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- [bagged ensembling of a regression model](https://github.com/JuliaAI/LearnTestAPI.jl/blob/dev/test/patterns/ensembling.jl)
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‎docs/src/patterns/feature_engineering.md‎

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# Feature Engineering
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For a simple feature selection algorithm (no "learning) see
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[these examples](https://github.com/JuliaAI/LearnAPI.jl/blob/dev/test/patterns/static_algorithms.jl) from tests.
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See these examples from the JuliaTestAI.jl test suite:
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- [feature
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selectors](https://github.com/JuliaAI/LearnTestAPI.jl/blob/dev/test/patterns/static_algorithms.jl)
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from tests.

‎docs/src/patterns/gradient_descent.md‎

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# Gradient Descent
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See [this
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example](https://github.com/JuliaAI/LearnAPI.jl/blob/dev/test/patterns/gradient_descent.jl)
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from tests.
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See these examples from the JuliaTestAI.jl test suite:
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- [perceptron
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classifier](https://github.com/JuliaAI/LearnTestAPI.jl/blob/dev/test/patterns/gradient_descent.jl)

‎docs/src/patterns/incremental_algorithms.md‎

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# Incremental Algorithms
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See these examples from tests:
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See these examples from the JuliaTestAI.jl test suite:
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- [normal distribution estimator](https://github.com/JuliaAI/LearnAPI.jl/blob/dev/test/patterns/incremental_algorithms.jl)
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- [normal distribution estimator](https://github.com/JuliaAI/LearnTestAPI.jl/blob/dev/test/patterns/incremental_algorithms.jl)

‎docs/src/patterns/iterative_algorithms.md‎

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# Iterative Algorithms
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See these examples from tests:
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See these examples from the JuliaTestAI.jl test suite:
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- [bagged ensembling](https://github.com/JuliaAI/LearnAPI.jl/blob/dev/test/patterns/ensembling.jl)
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- [bagged ensembling](https://github.com/JuliaAI/LearnTestAPI.jl/blob/dev/test/patterns/ensembling.jl)
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- [perceptron classifier](https://github.com/JuliaAI/LearnAPI.jl/blob/dev/test/patterns/gradient_descent.jl)
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- [perceptron classifier](https://github.com/JuliaAI/LearnTestAPI.jl/blob/dev/test/patterns/gradient_descent.jl)

‎docs/src/patterns/meta_algorithms.md‎

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# Meta-algorithms
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Many meta-algorithms are can be implemented as wrappers. An example is [this bagged
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Many meta-algorithms are can be implemented as wrappers. An example is [this bagged
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ensemble
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algorithm](https://github.com/JuliaAI/LearnAPI.jl/blob/dev/test/patterns/ensembling.jl)
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algorithm](https://github.com/JuliaAI/LearnTestAPI.jl/blob/dev/test/patterns/ensembling.jl)
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from tests.
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‎docs/src/patterns/regression.md‎

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# Regression
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See [these
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examples](https://github.com/JuliaAI/LearnAPI.jl/blob/dev/test/patterns/regression.jl)
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from tests.
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See these examples from the JuliaTestAI.jl test suite:
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- [ridge
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regression](https://github.com/JuliaAI/LearnTestAPI.jl/blob/dev/test/patterns/regression.jl)
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‎docs/src/patterns/static_algorithms.md‎

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# Static Algorithms
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See [these
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examples](https://github.com/JuliaAI/LearnAPI.jl/blob/dev/test/patterns/static_algorithms.jl)
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from tests.
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See these examples from the JuliaTestAI.jl test suite:
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- [feature
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selection](https://github.com/JuliaAI/LearnTestAPI.jl/blob/dev/test/patterns/static_algorithms.jl)
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