Merge pull request #525 from JuliaAI/dev

For a 0.16.10 release
JuliaAI · Jul 31, 2023 · 12f94f5 · 12f94f5
2 parents 9c23ddc + ba5de1b
commit 12f94f5
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Showing 5 changed files with 168 additions and 30 deletions.
diff --git a/Project.toml b/Project.toml
@@ -1,7 +1,7 @@
 name = "MLJModels"
 uuid = "d491faf4-2d78-11e9-2867-c94bc002c0b7"
 authors = ["Anthony D. Blaom <[email protected]>"]
-version = "0.16.9"
+version = "0.16.10"
 
 [deps]
 CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"

diff --git a/src/MLJModels.jl b/src/MLJModels.jl
@@ -37,7 +37,7 @@ export info
 
 # from model/Constant
 export ConstantRegressor, ConstantClassifier,
-        DeterministicConstantRegressor, DeterministicConstantClassifier
+    DeterministicConstantRegressor, DeterministicConstantClassifier
 
 # from model/ThresholdPredictors
 export BinaryThresholdPredictor

diff --git a/src/registry/Metadata.toml b/src/registry/Metadata.toml
diff --git a/src/registry/Models.toml b/src/registry/Models.toml
@@ -3,6 +3,7 @@ CatBoost = ["CatBoostRegressor", "CatBoostClassifier"]
 NearestNeighborModels = ["KNNClassifier", "MultitargetKNNClassifier", "MultitargetKNNRegressor", "KNNRegressor"]
 MLJScikitLearnInterface = ["ProbabilisticSGDClassifier", "RidgeCVClassifier", "LogisticClassifier", "RandomForestRegressor", "ElasticNetCVRegressor", "PerceptronClassifier", "MultiTaskLassoRegressor", "LinearRegressor", "DBSCAN", "RidgeRegressor", "LassoLarsICRegressor", "ARDRegressor", "SVMNuRegressor", "RidgeClassifier", "SGDRegressor", "ComplementNBClassifier", "HuberRegressor", "SVMNuClassifier", "GradientBoostingClassifier", "GaussianProcessRegressor", "SVMLinearRegressor", "LarsRegressor", "MeanShift", "AdaBoostRegressor", "AffinityPropagation", "MultiTaskLassoCVRegressor", "OrthogonalMatchingPursuitRegressor", "RidgeCVRegressor", "PassiveAggressiveClassifier", "SVMRegressor", "BernoulliNBClassifier", "GaussianNBClassifier", "ExtraTreesClassifier", "KMeans", "MultiTaskElasticNetCVRegressor", "LassoLarsCVRegressor", "OrthogonalMatchingPursuitCVRegressor", "AdaBoostClassifier", "PassiveAggressiveRegressor", "BayesianRidgeRegressor", "RANSACRegressor", "BaggingClassifier", "GaussianProcessClassifier", "OPTICS", "KNeighborsRegressor", "MiniBatchKMeans", "LassoCVRegressor", "DummyRegressor", "LassoLarsRegressor", "LarsCVRegressor", "KNeighborsClassifier", "SVMLinearClassifier", "FeatureAgglomeration", "DummyClassifier", "BaggingRegressor", "BayesianQDA", "BayesianLDA", "SGDClassifier", "TheilSenRegressor", "SpectralClustering", "Birch", "AgglomerativeClustering", "ElasticNetRegressor", "RandomForestClassifier", "LogisticCVClassifier", "MultiTaskElasticNetRegressor", "ExtraTreesRegressor", "LassoRegressor", "MultinomialNBClassifier", "GradientBoostingRegressor", "SVMClassifier"]
 OutlierDetectionNeighbors = ["ABODDetector", "DNNDetector", "LOFDetector", "KNNDetector", "COFDetector"]
+SIRUS = ["StableRulesClassifier", "StableRulesRegressor", "StableForestClassifier", "StableForestRegressor"]
 PartialLeastSquaresRegressor = ["KPLSRegressor", "PLSRegressor"]
 MLJLinearModels = ["QuantileRegressor", "LogisticClassifier", "MultinomialClassifier", "LADRegressor", "RidgeRegressor", "RobustRegressor", "ElasticNetRegressor", "LinearRegressor", "LassoRegressor", "HuberRegressor"]
 ParallelKMeans = ["KMeans"]

diff --git a/src/registry/Project.toml b/src/registry/Project.toml
@@ -27,6 +27,7 @@ OutlierDetectionPython = "2449c660-d36c-460e-a68b-92ab3c865b3e"
 ParallelKMeans = "42b8e9d4-006b-409a-8472-7f34b3fb58af"
 PartialLeastSquaresRegressor = "f4b1acfe-f311-436c-bb79-8483f53c17d5"
 Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
+SIRUS = "cdeec39e-fb35-4959-aadb-a1dd5dede958"
 SelfOrganizingMaps = "ba4b7379-301a-4be0-bee6-171e4e152787"
 SymbolicRegression = "8254be44-1295-4e6a-a16d-46603ac705cb"