ml2json 0.3.2

A safe, transparent way to share and deploy scikit-learn models.

ml2json

Export scikit-learn model files to JSON for sharing or deploying predictive models with peace of mind.

This is the continuation of the work hosted at OlivierBeq/sklearn-json.

Why ml2json?

Other methods for exporting scikit-learn models require Pickle or Joblib (based on Pickle).

• Serializing model files with Pickle provides a simple attack vector for malicious users - they give an attacker the ability to execute arbitrary code wherever the file is deserialized. For an example see: https://www.smartfile.com/blog/python-pickle-security-problems-and-solutions/.
• Internal designs of Pickle and Joblib files make the binary files not mandatorily supported across Python versions.

ml2json is a safe and transparent solution for exporting scikit-learn model files to text files both machine and human readable.

Safe

Export model files to 100% JSON which cannot execute code on deserialization.

Transparent

Model files are serialized in JSON (i.e., not binary), so you have the ability to see exactly what's inside.

Getting Started

ml2json makes exporting model files to JSON simple.

Install

pip install ml2json

To install other all dependencies (e.g. XGBoost, HDBSCAN), use:

pip install ml2json[full]

Example Usage

import ml2json
from sklearn.ensemble import RandomForestClassifier

model = RandomForestClassifier(n_estimators=10, max_depth=5, random_state=0).fit(X, y)

ml2json.to_json(model, file_name)
deserialized_model = ml2json.from_json(file_name)

deserialized_model.predict(X)

Features

The list of supported models is rapidly growing. In addition of the support for scikit-learn models, ml2json supports the following libraries:

• scikit-learn-extra
• XGBoost
• LightGBM
• CatBoost
• Imbalanced-learn
• kmodes
• HDBSCAN
• UMAP
• PyNNDescent
• Prince
• MlChemAD

ml2json requires scikit-learn >= 1.2.2, <=1.4.0.

Supported scikit-learn Models

Library	Category	Class	Supported?
Scikit-Learn	Clustering	cluster.AffinityPropagation	:heavy_check_mark:
Scikit-Learn	Clustering	cluster.AgglomerativeClustering	:heavy_check_mark:
Scikit-Learn	Clustering	cluster.Birch	:heavy_check_mark:
Scikit-Learn	Clustering	cluster.DBSCAN	:heavy_check_mark:
Scikit-Learn	Clustering	cluster.FeatureAgglomeration	:heavy_check_mark:
Scikit-Learn	Clustering	cluster.KMeans	:heavy_check_mark:
Scikit-Learn	Clustering	cluster.BisectingKMeans	:heavy_check_mark:
Scikit-Learn	Clustering	cluster.MiniBatchKMeans	:heavy_check_mark:
Scikit-Learn	Clustering	cluster.MeanShift	:heavy_check_mark:
Scikit-Learn	Clustering	cluster.OPTICS	:heavy_check_mark:
Scikit-Learn	Clustering	cluster.SpectralClustering	:heavy_check_mark:
Scikit-Learn	Clustering	cluster.SpectralBiclustering	:heavy_check_mark:
Scikit-Learn	Clustering	cluster.SpectralCoclustering	:heavy_check_mark:
Scikit-Learn	Cross decomposition	cross_decomposition.CCA	:heavy_check_mark:
Scikit-Learn	Cross decomposition	cross_decomposition.PLSCanonical	:heavy_check_mark:
Scikit-Learn	Cross decomposition	cross_decomposition.PLSRegression	:heavy_check_mark:
Scikit-Learn	Cross decomposition	cross_decomposition.PLSSVD	:heavy_check_mark:
Scikit-Learn	Decomposition	decomposition.DictionaryLearning	:heavy_check_mark:
Scikit-Learn	Decomposition	decomposition.FactorAnalysis	:heavy_check_mark:
Scikit-Learn	Decomposition	decomposition.FastICA	:heavy_check_mark:
Scikit-Learn	Decomposition	decomposition.IncrementalPCA	:heavy_check_mark:
Scikit-Learn	Decomposition	decomposition.KernelPCA	:heavy_check_mark:
Scikit-Learn	Decomposition	decomposition.LatentDirichletAllocation	:heavy_check_mark:
Scikit-Learn	Decomposition	decomposition.MiniBatchDictionaryLearning	:heavy_check_mark:
Scikit-Learn	Decomposition	decomposition.MiniBatchSparsePCA	:heavy_check_mark:
Scikit-Learn	Decomposition	decomposition.NMF	:heavy_check_mark:
Scikit-Learn	Decomposition	decomposition.MiniBatchNMF	:heavy_check_mark:
Scikit-Learn	Decomposition	decomposition.PCA	:heavy_check_mark:
Scikit-Learn	Decomposition	decomposition.SparsePCA	:heavy_check_mark:
Scikit-Learn	Decomposition	decomposition.SparseCoder	:heavy_check_mark:
Scikit-Learn	Decomposition	decomposition.TruncatedSVD	:heavy_check_mark:
Scikit-Learn	Discriminant Analysis	discriminant_analysis.LinearDiscriminantAnalysis	:heavy_check_mark:
Scikit-Learn	Discriminant Analysis	discriminant_analysis.QuadraticDiscriminantAnalysis	:heavy_check_mark:
Scikit-Learn	Ensemble Methods	ensemble.AdaBoostClassifier	:heavy_check_mark:
Scikit-Learn	Ensemble Methods	ensemble.AdaBoostRegressor	:heavy_check_mark:
Scikit-Learn	Ensemble Methods	ensemble.BaggingClassifier	:heavy_check_mark:
Scikit-Learn	Ensemble Methods	ensemble.BaggingRegressor	:heavy_check_mark:
Scikit-Learn	Ensemble Methods	ensemble.ExtraTreesClassifier	:heavy_check_mark:
Scikit-Learn	Ensemble Methods	ensemble.ExtraTreesRegressor	:heavy_check_mark:
Scikit-Learn	Ensemble Methods	ensemble.GradientBoostingClassifier	:heavy_check_mark:
Scikit-Learn	Ensemble Methods	ensemble.GradientBoostingRegressor	:heavy_check_mark:
Scikit-Learn	Ensemble Methods	ensemble.IsolationForest	:heavy_check_mark:
Scikit-Learn	Ensemble Methods	ensemble.RandomForestClassifier	:heavy_check_mark:
Scikit-Learn	Ensemble Methods	ensemble.RandomForestRegressor	:heavy_check_mark:
Scikit-Learn	Ensemble Methods	ensemble.RandomTreesEmbedding	:heavy_check_mark:
Scikit-Learn	Ensemble Methods	ensemble.StackingClassifier	:heavy_check_mark:
Scikit-Learn	Ensemble Methods	ensemble.StackingRegressor	:heavy_check_mark:
Scikit-Learn	Ensemble Methods	ensemble.VotingClassifier	:heavy_check_mark:
Scikit-Learn	Ensemble Methods	ensemble.VotingRegressor	:heavy_check_mark:
Scikit-Learn	Ensemble Methods	ensemble.HistGradientBoostingRegressor	:x:
Scikit-Learn	Ensemble Methods	ensemble.HistGradientBoostingClassifier	:x:
Scikit-Learn	Feature Extraction	feature_extraction.DictVectorizer	:heavy_check_mark:
Scikit-Learn	Feature Extraction	feature_extraction.FeatureHasher	:x:
Scikit-Learn	Feature Extraction	feature_extraction.image.PatchExtractor	:x:
Scikit-Learn	Feature Extraction	feature_extraction.text.CountVectorizer	:x:
Scikit-Learn	Feature Extraction	feature_extraction.text.HashingVectorizer	:x:
Scikit-Learn	Feature Extraction	feature_extraction.text.TfidfTransformer	:x:
Scikit-Learn	Feature Extraction	feature_extraction.text.TfidfVectorizer	:x:
Scikit-Learn	Feature Selection	feature_selection.GenericUnivariateSelect	:x:
Scikit-Learn	Feature Selection	feature_selection.SelectPercentile	:x:
Scikit-Learn	Feature Selection	feature_selection.SelectKBest	:x:
Scikit-Learn	Feature Selection	feature_selection.SelectFpr	:x:
Scikit-Learn	Feature Selection	feature_selection.SelectFdr	:x:
Scikit-Learn	Feature Selection	feature_selection.SelectFromModel	:x:
Scikit-Learn	Feature Selection	feature_selection.SelectFwe	:x:
Scikit-Learn	Feature Selection	feature_selection.SequentialFeatureSelector	:x:
Scikit-Learn	Feature Selection	feature_selection.RFE	:x:
Scikit-Learn	Feature Selection	feature_selection.RFECV	:x:
Scikit-Learn	Feature Selection	feature_selection.VarianceThreshold	:x:
Scikit-Learn	Gaussian Processes	gaussian_process.GaussianProcessClassifier	:x:
Scikit-Learn	Gaussian Processes	gaussian_process.GaussianProcessRegressor	:x:
Scikit-Learn	Impute	impute.SimpleImputer	:x:
Scikit-Learn	Impute	impute.IterativeImputer	:x:
Scikit-Learn	Impute	impute.MissingIndicator	:x:
Scikit-Learn	Impute	impute.KNNImputer	:x:
Scikit-Learn	Isotonic regression	isotonic.IsotonicRegression	:x:
Scikit-Learn	Kernel Approximation	kernel_approximation.AdditiveChi2Sampler	:x:
Scikit-Learn	Kernel Approximation	kernel_approximation.Nystroem	:x:
Scikit-Learn	Kernel Approximation	kernel_approximation.PolynomialCountSketch	:x:
Scikit-Learn	Kernel Approximation	kernel_approximation.RBFSampler	:x:
Scikit-Learn	Kernel Approximation	kernel_approximation.SkewedChi2Sampler	:x:
Scikit-Learn	Kernel Ridge Regression	kernel_ridge.KernelRidge	:x:
Scikit-Learn	Linear Models	linear_model.LogisticRegression	:heavy_check_mark:
Scikit-Learn	Linear Models	linear_model.LogisticRegressionCV	:x:
Scikit-Learn	Linear Models	linear_model.PassiveAggressiveClassifier	:x:
Scikit-Learn	Linear Models	linear_model.Perceptron	:heavy_check_mark:
Scikit-Learn	Linear Models	linear_model.RidgeClassifier	:x:
Scikit-Learn	Linear Models	linear_model.RidgeClassifierCV	:x:
Scikit-Learn	Linear Models	linear_model.SGDClassifier	:x:
Scikit-Learn	Linear Models	linear_model.SGDOneClassSVM	:x:
Scikit-Learn	Linear Models	linear_model.LinearRegression	:heavy_check_mark:
Scikit-Learn	Linear Models	linear_model.Ridge	:heavy_check_mark:
Scikit-Learn	Linear Models	linear_model.RidgeCV	:x:
Scikit-Learn	Linear Models	linear_model.SGDRegressor	:x:
Scikit-Learn	Linear Models	linear_model.ElasticNet	:heavy_check_mark:
Scikit-Learn	Linear Models	linear_model.ElasticNetCV	:x:
Scikit-Learn	Linear Models	linear_model.Lars	:x:
Scikit-Learn	Linear Models	linear_model.LarsCV	:x:
Scikit-Learn	Linear Models	linear_model.Lasso	:heavy_check_mark:
Scikit-Learn	Linear Models	linear_model.LassoCV	:x:
Scikit-Learn	Linear Models	linear_model.LassoLars	:x:
Scikit-Learn	Linear Models	linear_model.LassoLarsCV	:x:
Scikit-Learn	Linear Models	linear_model.LassoLarsIC	:x:
Scikit-Learn	Linear Models	linear_model.OrthogonalMatchingPursuit	:x:
Scikit-Learn	Linear Models	linear_model.OrthogonalMatchingPursuitCV	:x:
Scikit-Learn	Linear Models	linear_model.ARDRegression	:x:
Scikit-Learn	Linear Models	linear_model.BayesianRidge	:x:
Scikit-Learn	Linear Models	linear_model.MultiTaskElasticNet	:x:
Scikit-Learn	Linear Models	linear_model.MultiTaskElasticNetCV	:x:
Scikit-Learn	Linear Models	linear_model.MultiTaskLasso	:x:
Scikit-Learn	Linear Models	linear_model.MultiTaskLassoCV	:x:
Scikit-Learn	Linear Models	linear_model.HuberRegressor	:x:
Scikit-Learn	Linear Models	linear_model.QuantileRegressor	:x:
Scikit-Learn	Linear Models	linear_model.RANSACRegressor	:x:
Scikit-Learn	Linear Models	linear_model.TheilSenRegressor	:x:
Scikit-Learn	Linear Models	linear_model.PoissonRegressor	:x:
Scikit-Learn	Linear Models	linear_model.TweedieRegressor	:x:
Scikit-Learn	Linear Models	linear_model.GammaRegressor	:x:
Scikit-Learn	Linear Models	linear_model.PassiveAggressiveRegressor	:x:
Scikit-Learn	Manifold Learning	manifold.Isomap	:heavy_check_mark:
Scikit-Learn	Manifold Learning	manifold.LocallyLinearEmbedding	:heavy_check_mark:
Scikit-Learn	Manifold Learning	manifold.MDS	:heavy_check_mark:
Scikit-Learn	Manifold Learning	manifold.SpectralEmbedding	:heavy_check_mark:
Scikit-Learn	Manifold Learning	manifold.TSNE	:heavy_check_mark:
Scikit-Learn	Gaussian Mixture Models	mixture.BayesianGaussianMixture	:x:
Scikit-Learn	Gaussian Mixture Models	mixture.GaussianMixture	:x:
Scikit-Learn	Model Selection	model_selection.GroupKFold	:x:
Scikit-Learn	Model Selection	model_selection.GroupShuffleSplit	:x:
Scikit-Learn	Model Selection	model_selection.KFold	:x:
Scikit-Learn	Model Selection	model_selection.LeaveOneGroupOut	:x:
Scikit-Learn	Model Selection	model_selection.LeavePGroupsOut	:x:
Scikit-Learn	Model Selection	model_selection.LeaveOneOut	:x:
Scikit-Learn	Model Selection	model_selection.LeavePOut	:x:
Scikit-Learn	Model Selection	model_selection.PredefinedSplit	:x:
Scikit-Learn	Model Selection	model_selection.RepeatedKFold	:x:
Scikit-Learn	Model Selection	model_selection.RepeatedStratifiedKFold	:x:
Scikit-Learn	Model Selection	model_selection.ShuffleSplit	:x:
Scikit-Learn	Model Selection	model_selection.StratifiedKFold	:x:
Scikit-Learn	Model Selection	model_selection.StratifiedShuffleSplit	:x:
Scikit-Learn	Model Selection	model_selection.StratifiedGroupKFold	:x:
Scikit-Learn	Model Selection	model_selection.TimeSeriesSplit	:x:
Scikit-Learn	Model Selection	model_selection.GridSearchCV	:x:
Scikit-Learn	Model Selection	model_selection.HalvingGridSearchCV	:x:
Scikit-Learn	Model Selection	model_selection.ParameterGrid	:x:
Scikit-Learn	Model Selection	model_selection.ParameterSampler	:x:
Scikit-Learn	Model Selection	model_selection.RandomizedSearchCV	:x:
Scikit-Learn	Model Selection	model_selection.HalvingRandomSearchCV	:x:
Scikit-Learn	Multiclass classification	multiclass.OneVsRestClassifier	:x:
Scikit-Learn	Multiclass classification	multiclass.OneVsOneClassifier	:x:
Scikit-Learn	Multiclass classification	multiclass.OutputCodeClassifier	:x:
Scikit-Learn	Multioutput regression and classification	multioutput.ClassifierChain	:x:
Scikit-Learn	Multioutput regression and classification	multioutput.MultiOutputRegressor	:x:
Scikit-Learn	Multioutput regression and classification	multioutput.MultiOutputClassifier	:x:
Scikit-Learn	Multioutput regression and classification	multioutput.RegressorChain	:x:
Scikit-Learn	Naive Bayes	naive_bayes.BernoulliNB	:heavy_check_mark:
Scikit-Learn	Naive Bayes	naive_bayes.CategoricalNB	:x:
Scikit-Learn	Naive Bayes	naive_bayes.ComplementNB	:heavy_check_mark:
Scikit-Learn	Naive Bayes	naive_bayes.GaussianNB	:heavy_check_mark:
Scikit-Learn	Naive Bayes	naive_bayes.MultinomialNB	:heavy_check_mark:
Scikit-Learn	Nearest Neighbors	neighbors.BallTree	:x:
Scikit-Learn	Nearest Neighbors	neighbors.KDTree	:heavy_check_mark:
Scikit-Learn	Nearest Neighbors	neighbors.KernelDensity	:heavy_check_mark:
Scikit-Learn	Nearest Neighbors	neighbors.KNeighborsClassifier	:heavy_check_mark:
Scikit-Learn	Nearest Neighbors	neighbors.KNeighborsRegressor	:heavy_check_mark:
Scikit-Learn	Nearest Neighbors	neighbors.KNeighborsTransformer	:x:
Scikit-Learn	Nearest Neighbors	neighbors.LocalOutlierFactor	:x:
Scikit-Learn	Nearest Neighbors	neighbors.RadiusNeighborsClassifier	:x:
Scikit-Learn	Nearest Neighbors	neighbors.RadiusNeighborsRegressor	:x:
Scikit-Learn	Nearest Neighbors	neighbors.RadiusNeighborsTransformer	:x:
Scikit-Learn	Nearest Neighbors	neighbors.NearestCentroid	:x:
Scikit-Learn	Nearest Neighbors	neighbors.NearestNeighbors	:heavy_check_mark:
Scikit-Learn	Nearest Neighbors	neighbors.NeighborhoodComponentsAnalysis	:x:
Scikit-Learn	Neural network models	neural_network.BernoulliRBM	:x:
Scikit-Learn	Neural network models	neural_network.MLPClassifier	:heavy_check_mark:
Scikit-Learn	Neural network models	neural_network.MLPRegressor	:heavy_check_mark:
Scikit-Learn	Pipeline	pipeline.FeatureUnion	:x:
Scikit-Learn	Pipeline	pipeline.Pipeline	:x:
Scikit-Learn	Preprocessing and Normalization	preprocessing.Binarizer	:x:
Scikit-Learn	Preprocessing and Normalization	preprocessing.FunctionTransformer	:x:
Scikit-Learn	Preprocessing and Normalization	preprocessing.KBinsDiscretizer	:x:
Scikit-Learn	Preprocessing and Normalization	preprocessing.KernelCenterer	:heavy_check_mark:
Scikit-Learn	Preprocessing and Normalization	preprocessing.LabelBinarizer	:heavy_check_mark:
Scikit-Learn	Preprocessing and Normalization	preprocessing.LabelEncoder	:heavy_check_mark:
Scikit-Learn	Preprocessing and Normalization	preprocessing.MultiLabelBinarizer	:heavy_check_mark:
Scikit-Learn	Preprocessing and Normalization	preprocessing.MaxAbsScaler	:heavy_check_mark:
Scikit-Learn	Preprocessing and Normalization	preprocessing.MinMaxScaler	:heavy_check_mark:
Scikit-Learn	Preprocessing and Normalization	preprocessing.Normalizer	:x:
Scikit-Learn	Preprocessing and Normalization	preprocessing.OneHotEncoder	:heavy_check_mark:
Scikit-Learn	Preprocessing and Normalization	preprocessing.OrdinalEncoder	:x:
Scikit-Learn	Preprocessing and Normalization	preprocessing.PolynomialFeatures	:x:
Scikit-Learn	Preprocessing and Normalization	preprocessing.PowerTransformer	:x:
Scikit-Learn	Preprocessing and Normalization	preprocessing.QuantileTransformer	:x:
Scikit-Learn	Preprocessing and Normalization	preprocessing.RobustScaler	:heavy_check_mark:
Scikit-Learn	Preprocessing and Normalization	preprocessing.SplineTransformer	:x:
Scikit-Learn	Preprocessing and Normalization	preprocessing.StandardScaler	:heavy_check_mark:
Scikit-Learn	Random projection	random_projection.GaussianRandomProjection	:x:
Scikit-Learn	Random projection	random_projection.SparseRandomProjection	:x:
Scikit-Learn	Semi-Supervised Learning	semi_supervised.LabelPropagation	:x:
Scikit-Learn	Semi-Supervised Learning	semi_supervised.LabelSpreading	:x:
Scikit-Learn	Semi-Supervised Learning	semi_supervised.SelfTrainingClassifier	:x:
Scikit-Learn	Support Vector Machines	svm.LinearSVC	:x:
Scikit-Learn	Support Vector Machines	svm.LinearSVR	:x:
Scikit-Learn	Support Vector Machines	svm.NuSVC	:x:
Scikit-Learn	Support Vector Machines	svm.NuSVR	:x:
Scikit-Learn	Support Vector Machines	svm.OneClassSVM	:x:
Scikit-Learn	Support Vector Machines	svm.SVC	:heavy_check_mark:
Scikit-Learn	Support Vector Machines	svm.SVR	:heavy_check_mark:
Scikit-Learn	Decision Trees	tree.DecisionTreeClassifier	:heavy_check_mark:
Scikit-Learn	Decision Trees	tree.DecisionTreeRegressor	:heavy_check_mark:
Scikit-Learn	Decision Trees	tree.ExtraTreeClassifier	:heavy_check_mark:
Scikit-Learn	Decision Trees	tree.ExtraTreeRegressor	:heavy_check_mark:
Imbalanced-Learn	Under-sampling	ClusterCentroids	:x:
Imbalanced-Learn	Under-sampling	CondensedNearestNeighbour	:x:
Imbalanced-Learn	Under-sampling	EditedNearestNeighbours	:x:
Imbalanced-Learn	Under-sampling	RepeatedEditedNearestNeighbours	:x:
Imbalanced-Learn	Under-sampling	AllKNN	:x:
Imbalanced-Learn	Under-sampling	InstanceHardnessThreshold	:x:
Imbalanced-Learn	Under-sampling	NearMiss	:x:
Imbalanced-Learn	Under-sampling	NeighbourhoodCleaningRule	:x:
Imbalanced-Learn	Under-sampling	OneSidedSelection	:x:
Imbalanced-Learn	Under-sampling	RandomUnderSampler	:x:
Imbalanced-Learn	Under-sampling	TomekLinks	:x:
Imbalanced-Learn	Over-sampling	RandomOverSampler	:x:
Imbalanced-Learn	Over-sampling	SMOTE	:x:
Imbalanced-Learn	Over-sampling	SMOTENC	:x:
Imbalanced-Learn	Over-sampling	SMOTEN	:x:
Imbalanced-Learn	Over-sampling	ADASYN	:x:
Imbalanced-Learn	Over-sampling	BorderlineSMOTE	:x:
Imbalanced-Learn	Over-sampling	KMeansSMOTE	:x:
Imbalanced-Learn	Over-sampling	SVMSMOTE	:x:
Imbalanced-Learn	Combined over & under sampling	SMOTEENN	:x:
Imbalanced-Learn	Combined over & under sampling	SMOTETomek	:x:
Imbalanced-Learn	Ensemble Methods	EasyEnsembleClassifier	:x:
Imbalanced-Learn	Ensemble Methods	RUSBoostClassifier	:x:
Imbalanced-Learn	Ensemble Methods	BalancedBaggingClassifier	:x:
Imbalanced-Learn	Ensemble Methods	BalancedRandomForestClassifier	:x:
XGBoost	Ensemble Methods	XGBRegressor	:heavy_check_mark:
XGBoost	Ensemble Methods	XGBClassifier	:heavy_check_mark:
XGBoost	Ensemble Methods	XGBRanker	:heavy_check_mark:
XGBoost	Ensemble Methods	XGBRFRegressor	:heavy_check_mark:
XGBoost	Ensemble Methods	XGBRFClassifier	:heavy_check_mark:
LightGBM	Ensemble Methods	LGBMClassifier	:heavy_check_mark:
LightGBM	Ensemble Methods	LGBMRegressor	:heavy_check_mark:
LightGBM	Ensemble Methods	LGBMRanker	:heavy_check_mark:
CatBoost	Ensemble Methods	CatBoostClassifier	:heavy_check_mark:
CatBoost	Ensemble Methods	CatBoostRanker	:heavy_check_mark:
CatBoost	Ensemble Methods	CatBoostRegressor	:heavy_check_mark:
kmodes	Clustering	KModes	:heavy_check_mark:
kmodes	Clustering	KPrototypes	:heavy_check_mark:
Scikit-Learn-extra	Clustering	cluster.KMedoids	:x:
Scikit-Learn-extra	Clustering	cluster.CommonNNClustering	:x:
Scikit-Learn-extra	Kernel approximation	kernel_approximation.Fastfood	:x:
Scikit-Learn-extra	EigenPro	kernel_methods.EigenProRegressor	:x:
Scikit-Learn-extra	Robust	kernel_methods.EigenProClassifier	:x:
Scikit-Learn-extra	Robust	robust.RobustWeightedClassifier	:x:
Scikit-Learn-extra	Robust	robust.RobustWeightedRegressor	:x:
Scikit-Learn-extra	Robust	robust.RobustWeightedKMeans	:x:
HDBSCAN	Clustering	HDBSCAN	:heavy_check_mark:
UMAP	Manifold Learning	UMAP	:heavy_check_mark:
PyNNDescent	Nearest Neighbors	NNDescent	:heavy_check_mark:
Prince	Decomposition	PCA	:x:
Prince	Decomposition	CA	:x:
Prince	Decomposition	MCA	:x:
Prince	Decomposition	MFA	:x:
Prince	Decomposition	FAMD	:x:
Prince	Decomposition	GPA	:x:
MLChemAD	Applicability Domain	BoundingBoxApplicabilityDomain	:heavy_check_mark:
MLChemAD	Applicability Domain	ConvexHullApplicabilityDomain	:heavy_check_mark:
MLChemAD	Applicability Domain	PCABoundingBoxApplicabilityDomain	:heavy_check_mark:
MLChemAD	Applicability Domain	TopKatApplicabilityDomain	:heavy_check_mark:
MLChemAD	Applicability Domain	LeverageApplicabilityDomain	:heavy_check_mark:
MLChemAD	Applicability Domain	HotellingT2ApplicabilityDomain	:heavy_check_mark:
MLChemAD	Applicability Domain	KernelDensityApplicabilityDomain	:heavy_check_mark:
MLChemAD	Applicability Domain	IsolationForestApplicabilityDomain	:heavy_check_mark:
MLChemAD	Applicability Domain	CentroidDistanceApplicabilityDomain	:heavy_check_mark:
MLChemAD	Applicability Domain	KNNApplicabilityDomain	:heavy_check_mark:
MLChemAD	Applicability Domain	StandardizationApproachApplicabilityDomain	:heavy_check_mark: