Merge pull request #1104 from alan-turing-institute/dev

Update documentation. No new release.
JuliaAI · Apr 14, 2024 · 9bdb4ed · 9bdb4ed
2 parents dab6152 + 6f46257
commit 9bdb4ed
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Showing 4 changed files with 9 additions and 7 deletions.
diff --git a/Project.toml b/Project.toml
@@ -69,8 +69,8 @@ MLJMultivariateStatsInterface = "1b6a4a23-ba22-4f51-9698-8599985d3728"
 MLJNaiveBayesInterface = "33e4bacb-b9e2-458e-9a13-5d9a90b235fa"
 MLJScikitLearnInterface = "5ae90465-5518-4432-b9d2-8a1def2f0cab"
 MLJTSVDInterface = "7fa162e1-0e29-41ca-a6fa-c000ca4e7e7e"
-MLJTestInterface = "72560011-54dd-4dc2-94f3-c5de45b75ecd"
 MLJTestIntegration = "697918b4-fdc1-4f9e-8ff9-929724cee270"
+MLJTestInterface = "72560011-54dd-4dc2-94f3-c5de45b75ecd"
 MLJText = "5e27fcf9-6bac-46ba-8580-b5712f3d6387"
 MLJXGBoostInterface = "54119dfa-1dab-4055-a167-80440f4f7a91"
 Markdown = "d6f4376e-aef5-505a-96c1-9c027394607a"
@@ -80,12 +80,12 @@ OutlierDetectionNeighbors = "51249a0a-cb36-4849-8e04-30c7f8d311bb"
 OutlierDetectionPython = "2449c660-d36c-460e-a68b-92ab3c865b3e"
 ParallelKMeans = "42b8e9d4-006b-409a-8472-7f34b3fb58af"
 PartialLeastSquaresRegressor = "f4b1acfe-f311-436c-bb79-8483f53c17d5"
-SelfOrganizingMaps = "ba4b7379-301a-4be0-bee6-171e4e152787"
+PartitionedLS = "19f41c5e-8610-11e9-2f2a-0d67e7c5027f"
 SIRUS = "cdeec39e-fb35-4959-aadb-a1dd5dede958"
-SymbolicRegression = "8254be44-1295-4e6a-a16d-46603ac705cb"
+SelfOrganizingMaps = "ba4b7379-301a-4be0-bee6-171e4e152787"
 StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
+SymbolicRegression = "8254be44-1295-4e6a-a16d-46603ac705cb"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["BetaML", "CatBoost", "EvoLinear", "EvoTrees", "Imbalance", "InteractiveUtils", "LightGBM", "MLJClusteringInterface", "MLJDecisionTreeInterface", "MLJFlux", "MLJGLMInterface", "MLJLIBSVMInterface", "MLJLinearModels", "MLJMultivariateStatsInterface", "MLJNaiveBayesInterface", "MLJScikitLearnInterface", "MLJTSVDInterface", "MLJTestInterface", "MLJTestIntegration", "MLJText", "MLJXGBoostInterface", "Markdown", "NearestNeighborModels", "OneRule", "OutlierDetectionNeighbors", "OutlierDetectionPython", "ParallelKMeans", "PartialLeastSquaresRegressor", "SelfOrganizingMaps", "SIRUS", "SymbolicRegression", "StableRNGs", "Test"] 
-
+test = ["BetaML", "CatBoost", "EvoLinear", "EvoTrees", "Imbalance", "InteractiveUtils", "LightGBM", "MLJClusteringInterface", "MLJDecisionTreeInterface", "MLJFlux", "MLJGLMInterface", "MLJLIBSVMInterface", "MLJLinearModels", "MLJMultivariateStatsInterface", "MLJNaiveBayesInterface", "MLJScikitLearnInterface", "MLJTSVDInterface", "MLJTestInterface", "MLJTestIntegration", "MLJText", "MLJXGBoostInterface", "Markdown", "NearestNeighborModels", "OneRule", "OutlierDetectionNeighbors", "OutlierDetectionPython", "ParallelKMeans", "PartialLeastSquaresRegressor", "PartitionedLS", "SelfOrganizingMaps", "SIRUS", "SymbolicRegression", "StableRNGs", "Test"]
diff --git a/docs/ModelDescriptors.toml b/docs/ModelDescriptors.toml
@@ -167,6 +167,7 @@ PCA_MultivariateStats = ["dimension_reduction", ]
 PCADetector_OutlierDetectionPython = ["outlier_detection"]
 PLSRegressor_PartialLeastSquaresRegressor = ["regression"]
 PPCA_MultivariateStats = ["dimension_reduction"]
+PartLS_PartitionedLS = ["regression"]
 PassiveAggressiveClassifier_MLJScikitLearnInterface = ["classification"]
 PassiveAggressiveRegressor_MLJScikitLearnInterface = ["regression"]
 PegasosClassifier_BetaML = ["classification"]

diff --git a/docs/src/list_of_supported_models.md b/docs/src/list_of_supported_models.md
@@ -54,6 +54,7 @@ independent assessment.
 [OutlierDetectionPython.jl](https://github.com/OutlierDetectionJL/OutlierDetectionPython.jl) | - | ABODDetector, CBLOFDetector, CDDetector, COFDetector, COPODDetector, ECODDetector, GMMDetector, HBOSDetector, IForestDetector, INNEDetector, KDEDetector, KNNDetector, LMDDDetector, LOCIDetector, LODADetector, LOFDetector, MCDDetector, OCSVMDetector, PCADetector, RODDetector, SODDetector, SOSDetector | high | 
 [ParallelKMeans.jl](https://github.com/PyDataBlog/ParallelKMeans.jl) | - | KMeans | experimental |
 [PartialLeastSquaresRegressor.jl](https://github.com/lalvim/PartialLeastSquaresRegressor.jl) | - | PLSRegressor, KPLSRegressor | experimental |
+[PartitionedLS.jl](https://github.com/ml-unito/PartitionedLS.jl) | - | PartLS | low |
 [ScikitLearn.jl](https://github.com/cstjean/ScikitLearn.jl) | [MLJScikitLearnInterface.jl](https://github.com/JuliaAI/MLJScikitLearnInterface.jl) | ARDRegressor, AdaBoostClassifier, AdaBoostRegressor, AffinityPropagation, AgglomerativeClustering, BaggingClassifier, BaggingRegressor, BayesianLDA, BayesianQDA, BayesianRidgeRegressor, BernoulliNBClassifier, Birch, ComplementNBClassifier, DBSCAN, DummyClassifier, DummyRegressor, ElasticNetCVRegressor, ElasticNetRegressor, ExtraTreesClassifier, ExtraTreesRegressor, FeatureAgglomeration, GaussianNBClassifier, GaussianProcessClassifier, GaussianProcessRegressor, GradientBoostingClassifier, GradientBoostingRegressor, HuberRegressor, KMeans, KNeighborsClassifier, KNeighborsRegressor, LarsCVRegressor, LarsRegressor, LassoCVRegressor, LassoLarsCVRegressor, LassoLarsICRegressor, LassoLarsRegressor, LassoRegressor, LinearRegressor, LogisticCVClassifier, LogisticClassifier, MeanShift, MiniBatchKMeans, MultiTaskElasticNetCVRegressor, MultiTaskElasticNetRegressor, MultiTaskLassoCVRegressor, MultiTaskLassoRegressor, MultinomialNBClassifier, OPTICS, OrthogonalMatchingPursuitCVRegressor, OrthogonalMatchingPursuitRegressor, PassiveAggressiveClassifier, PassiveAggressiveRegressor, PerceptronClassifier, ProbabilisticSGDClassifier, RANSACRegressor, RandomForestClassifier, RandomForestRegressor, RidgeCVClassifier, RidgeCVRegressor, RidgeClassifier, RidgeRegressor, SGDClassifier, SGDRegressor, SVMClassifier, SVMLClassifier, SVMLRegressor, SVMNuClassifier, SVMNuRegressor, SVMRegressor, SpectralClustering, TheilSenRegressor | high² |
 [SIRUS.jl](https://github.com/rikhuijzer/SIRUS.jl) | - | StableForestClassifier, StableForestRegressor, StableRulesClassifier, StableRulesRegressor | low |
 [SymbolicRegression.jl](https://github.com/MilesCranmer/SymbolicRegression.jl) | - | MultitargetSRRegressor, SRRegressor | experimental |

diff --git a/test/integration.jl b/test/integration.jl
@@ -181,7 +181,7 @@ MLJTestIntegration.test(MODELS, (nothing, ), level=1, throw=true, verbosity=0);
 options = (
     level = JULIA_TEST_LEVEL,
     verbosity = 0, # bump to 2 to debug
-    throw = true,
+    throw = false,
 )
 @testset "level 4 tests" begin
     println()
@@ -202,7 +202,7 @@ end
 options = (
     level = OTHER_TEST_LEVEL,
     verbosity = 0, # bump to 2 to debug
-    throw = true,
+    throw = false,
 )
 @testset "level 3 tests" begin
     println()