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

Project description

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
  • openTSNE

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:
openTSNE Manifold Learning openTSNE.TSNE :heavy_check_mark:
openTSNE Manifold Learning openTSNE.sklearn.TSNE :heavy_check_mark:
openTSNE Manifold Learning openTSNE.TSNE :heavy_check_mark:
openTSNE Manifold Learning openTSNE.sklearn.TSNE :heavy_check_mark:

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