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Update docs. No new release. #1148

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merged 12 commits into from
Dec 20, 2024
Merged

Update docs. No new release. #1148

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5c446f5
Adding links to organizations images
pebeto Oct 29, 2024
87366ff
Adding ETH Zurich to supporting organizations
pebeto Nov 1, 2024
2403de6
Merge pull request #1142 from JuliaAI/links_on_organizations
ablaom Nov 3, 2024
7ba2936
Initial commit for adding affinity propagation
Yuan-Ru-Lin Nov 25, 2024
d24ed5c
Merge pull request #1147 from Yuan-Ru-Lin/add-affinity-propagation
ablaom Dec 17, 2024
6d24745
add/fix model descriptors for AffinityPropagation, LaplaceRedux
ablaom Dec 17, 2024
91767d3
add LaplaceRedux to the integration test Project.toml
ablaom Dec 17, 2024
2012739
oops. added LaplaceRedux to wrong Project.toml
ablaom Dec 17, 2024
afdfc71
trivial commit to retrigger CI
ablaom Dec 18, 2024
b6190a5
trivial commit to retrigger CI
ablaom Dec 18, 2024
e082c50
add new BetaML issue to the integratioin test filter
ablaom Dec 20, 2024
1e65db9
add SRRegressor issue to integration test filter
ablaom Dec 20, 2024
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2 changes: 2 additions & 0 deletions Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -60,6 +60,7 @@ EvoLinear = "ab853011-1780-437f-b4b5-5de6f4777246"
EvoTrees = "f6006082-12f8-11e9-0c9c-0d5d367ab1e5"
Imbalance = "c709b415-507b-45b7-9a3d-1767c89fde68"
InteractiveUtils = "b77e0a4c-d291-57a0-90e8-8db25a27a240"
LaplaceRedux = "c52c1a26-f7c5-402b-80be-ba1e638ad478"
LightGBM = "7acf609c-83a4-11e9-1ffb-b912bcd3b04a"
MLJClusteringInterface = "d354fa79-ed1c-40d4-88ef-b8c7bd1568af"
MLJDecisionTreeInterface = "c6f25543-311c-4c74-83dc-3ea6d1015661"
Expand Down Expand Up @@ -99,6 +100,7 @@ test = [
"Imbalance",
"InteractiveUtils",
"LightGBM",
"LaplaceRedux",
"MLJClusteringInterface",
"MLJDecisionTreeInterface",
"MLJFlux",
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27 changes: 21 additions & 6 deletions README.md
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Expand Up @@ -50,12 +50,27 @@ awarded to the University of Auckland.
MLJ has been developed with the support of the following organizations:

<div align="center">
<img src="material/DFKI.png" width = 100/>
<img src="material/Turing_logo.png" width = 100/>
<img src="material/UoA_logo.png" width = 100/>
<img src="material/IQVIA_logo.png" width = 100/>
<img src="material/warwick.png" width = 100/>
<img src="material/julia.png" width = 100/>
<a href="https://www.dfki.de/en/web">
<img src="material/DFKI.png" width = 100/>
</a>
<a href="https://www.turing.ac.uk/">
<img src="material/Turing_logo.png" width = 100/>
</a>
<a href="https://www.auckland.ac.nz/en.html">
<img src="material/UoA_logo.png" width = 100/>
</a>
<a href="https://www.iqvia.com/">
<img src="material/IQVIA_logo.png" width = 100/>
</a>
<a href="https://warwick.ac.uk/">
<img src="material/warwick.png" width = 100/>
</a>
<a href="https://juliahub.com/">
<img src="material/julia.png" width = 100/>
</a>
<a href="https://ethz.ch/en.html">
<img src="material/ETH-Zurich.jpg" width = 100/>
</a>
</div>


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3 changes: 3 additions & 0 deletions docs/ModelDescriptors.toml
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Expand Up @@ -5,6 +5,7 @@ ARDRegressor_MLJScikitLearnInterface = ["regression", "Bayesian_models"]
AdaBoostClassifier_MLJScikitLearnInterface = ["classification"]
AdaBoostRegressor_MLJScikitLearnInterface = ["regression"]
AdaBoostStumpClassifier_DecisionTree = ["classification"]
AffinityPropagation_Clustering = ["clustering"]
AffinityPropagation_MLJScikitLearnInterface = ["clustering"]
AgglomerativeClustering_MLJScikitLearnInterface = ["clustering", "static_models"]
AutoEncoder_BetaML = ["dimension_reduction"]
Expand Down Expand Up @@ -110,6 +111,8 @@ KPLSRegressor_PartialLeastSquaresRegressor = ["regression"]
KernelPCA_MultivariateStats = ["dimension_reduction", ]
KernelPerceptronClassifier_BetaML = ["classification", "neural_networks"]
LADRegressor_MLJLinearModels = ["regression"]
LaplaceClassifier_LaplaceRedux = ["classification", "neural_networks", "Bayesian_models"]
LaplaceRegressor_LaplaceRedux = ["regression", "neural_networks", "Bayesian_models"]
LDA_MultivariateStats = ["classification", "dimension_reduction", ]
LGBMClassifier_LightGBM = ["classification", "ensemble_models", "iterative_models"]
LGBMRegressor_LightGBM = ["regression", "ensemble_models", "iterative_models"]
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2 changes: 1 addition & 1 deletion docs/src/list_of_supported_models.md
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Expand Up @@ -32,7 +32,7 @@ independent assessment.
| ------- | ------------- | ------ | -------- | ----
[BetaML.jl](https://github.com/sylvaticus/BetaML.jl) | - | DecisionTreeClassifier, RandomForestClassifier, NeuralNetworkClassifier, PerceptronClassifier, KernelPerceptronClassifier, PegasosClassifier, DecisionTreeRegressor, RandomForestRegressor, NeuralNetworkRegressor, MultitargetNeuralNetworkRegressor, GaussianMixtureRegressor, MultitargetGaussianMixtureRegressor, KMeansClusterer, KMedoidsClusterer, GaussianMixtureClusterer, SimpleImputer, GaussianMixtureImputer, RandomForestImputer, GeneralImputer, AutoEncoder | medium |
[CatBoost.jl](https://github.com/JuliaAI/CatBoost.jl) | - | CatBoostRegressor, CatBoostClassifier | high |
[Clustering.jl](https://github.com/JuliaStats/Clustering.jl) | [MLJClusteringInterface.jl](https://github.com/JuliaAI/MLJClusteringInterface.jl) | KMeans, KMedoids, DBSCAN, HierarchicalClustering | high² |
[Clustering.jl](https://github.com/JuliaStats/Clustering.jl) | [MLJClusteringInterface.jl](https://github.com/JuliaAI/MLJClusteringInterface.jl) | KMeans, KMedoids, AffinityPropagation, DBSCAN, HierarchicalClustering | high² |
[DecisionTree.jl](https://github.com/bensadeghi/DecisionTree.jl) | [MLJDecisionTreeInterface.jl](https://github.com/JuliaAI/MLJDecisionTreeInterface.jl) | DecisionTreeClassifier, DecisionTreeRegressor, AdaBoostStumpClassifier, RandomForestClassifier, RandomForestRegressor | high |
[EvoTrees.jl](https://github.com/Evovest/EvoTrees.jl) | - | EvoTreeRegressor, EvoTreeClassifier, EvoTreeCount, EvoTreeGaussian, EvoTreeMLE | medium | tree-based gradient boosting models
[EvoLinear.jl](https://github.com/jeremiedb/EvoLinear.jl) | - | EvoLinearRegressor | medium | linear boosting models
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8 changes: 7 additions & 1 deletion test/integration.jl
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Expand Up @@ -54,7 +54,13 @@ FILTER_GIVEN_ISSUE = Dict(
],
"https://github.com/JuliaAI/FeatureSelection.jl/issues/15" =>
model -> model.package_name == "FeatureSelection" &&
model.name == "RecursiveFeatureElimination"
model.name == "RecursiveFeatureElimination",
"https://github.com/sylvaticus/BetaML.jl/issues/75" =>
model -> model.package_name == "BetaML" &&
model.name == "NeuralNetworkClassifier",
"https://github.com/MilesCranmer/SymbolicRegression.jl/issues/390" =>
model -> model.package_name == "SymbolicRegression" &&
model.name == "SRRegressor"
)


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