go-ml-deployment

Project Objectives

• Should be able to deploy sklearn models as a go-server
• Production ready and well-tested

Supported Models

Name	Package	Sklearn-onnx Support	Our Support
ADBRegression	linear_model	✅	❌
AdaBoostClassifier	ensemble	✅	❌
AdaBoostRegressor	ensemble	✅	❌
AdditiveChi2Sampler	kernel_approximation	❌	❌
AffinityPropagation	cluster	❌	❌
AgglomerativeClustering	cluster	❌	❌
BaggingClassifier	ensemble	✅	❌
BaggingRegressor	ensemble	✅	❌
BaseDecisionTree	tree	✅	❌
BaseEnsemble	ensemble	❌	❌
BayesianGaussianMixture	mixture	✅	❌
BayesianRidge	linear_model	✅	❌
BernoulliNB	naive_bayes	✅	❌
BernoulliRBM	neural_network	❌	❌
Binarizer	preprocessing	✅	❌
Birch	cluster	❌	❌
BisectingKMeans	cluster	❌	❌
CCA	cross_decomposition	❌	❌
CalibratedClassifierCV	calibration	✅	❌
CategoricalNB	naive_bayes	✅	❌
ClassifierChain	multioutput	❌	❌
ComplementNB	naive_bayes	✅	❌
DBSCAN	cluster	❌	❌
DecisionTreeClassifier	tree	✅	❌
DecisionTreeRegressor	tree	✅	❌
DictVectorizer	feature_extraction	✅	❌
DictionaryLearning	decomposition	❌	❌
ElasticNet	linear_model	✅	❌
ElasticNetCV	linear_model	✅	❌
EllipticEnvelope	covariance	❌	❌
EmpiricalCovariance	covariance	❌	❌
ExtraTreeClassifier	tree	✅	❌
ExtraTreeRegressor	tree	✅	❌
ExtraTreesClassifier	ensemble	✅	❌
ExtraTreesRegressor	ensemble	✅	❌
FactorAnalysis	decomposition	❌	❌
FastICA	decomposition	❌	❌
FeatureAgglomeration	cluster	❌	❌
FeatureHasher	feature_extraction	✅	❌
FixedThresholdClassifier	model_selection	❌	❌
FrozenEstimator	frozen	❌	❌
FunctionTransformer	preprocessing	✅	❌
GammaRegressor	linear_model	✅	❌
GaussianMixture	mixture	✅	❌
GaussianNB	naive_bayes	✅	❌
GaussianProcessClassifier	gaussian_process	✅	❌
GaussianProcessRegressor	gaussian_process	✅	❌
GaussianRandomProjection	random_projection	✅	❌
GenericUnivariateSelect	feature_selection	✅	❌
GradientBoostingClassifier	ensemble	✅	❌
GradientBoostingRegressor	ensemble	✅	❌
GraphicalLasso	covariance	❌	❌
GraphicalLassoCV	covariance	❌	❌
GridSearchCV	model_selection	✅	❌
HDBSCAN	cluster	❌	❌
HistGradientBoostingClassifier	ensemble	✅	❌
HistGradientBoostingRegressor	ensemble	✅	❌
HuberRegressor	linear_model	✅	❌
IncrementalPCA	decomposition	✅	❌
IsolationForest	ensemble	✅	❌
IsotonicRegression	isotonic	❌	❌
KBinsDiscretizer	preprocessing	✅	❌
KMeans	cluster	✅	❌
KNNImputer	impute	✅	❌
KNeighborsClassifier	neighbors	✅	❌
KNeighborsRegressor	neighbors	✅	❌
KNeighborsTransformer	neighbors	✅	❌
KernelCenterer	preprocessing	✅	❌
KernelDensity	neighbors	❌	❌
KernelPCA	decomposition	✅	❌
KernelRidge	kernel_ridge	❌	❌
LabelBinarizer	preprocessing	✅	❌
LabelEncoder	preprocessing	✅	❌
LabelPropagation	semi_supervised	❌	❌
LabelSpreading	semi_supervised	❌	❌
Lars	linear_model	✅	❌
LarsCV	linear_model	✅	❌
Lasso	linear_model	✅	❌
LassoCV	linear_model	✅	❌
LassoLars	linear_model	✅	❌
LassoLarsCV	linear_model	✅	❌
LassoLarsIC	linear_model	✅	❌
LatentDirichletAllocation	decomposition	❌	❌
LedoitWolf	covariance	❌	❌
LinearDiscriminantAnalysis	discriminant_analysis	✅	❌
LinearRegression	linear_model	✅	❌
LinearSVC	svm	✅	❌
LinearSVR	svm	✅	❌
LocalOutlierFactor	neighbors	✅	❌
LogisticRegression	linear_model	✅	❌
LogisticRegressionCV	linear_model	✅	❌
MLPClassifier	neural_network	✅	❌
MLPRegressor	neural_network	✅	❌
MaxAbsScaler	preprocessing	✅	❌
MeanShift	cluster	❌	❌
MinCovDet	covariance	❌	❌
MinMaxScaler	preprocessing	✅	❌
MiniBatchDictionaryLearning	decomposition	❌	❌
MiniBatchKMeans	cluster	✅	❌
MiniBatchNMF	decomposition	❌	❌
MiniBatchSparsePCA	decomposition	❌	❌
MissingIndicator	impute	❌	❌
MultiLabelBinarizer	preprocessing	❌	❌
MultiOutputClassifier	multioutput	✅	❌
MultiOutputRegressor	multioutput	✅	❌
MultiTaskElasticNet	linear_model	✅	❌
MultiTaskElasticNetCV	linear_model	✅	❌
MultiTaskLasso	linear_model	✅	❌
MultiTaskLassoCV	linear_model	✅	❌
MultinomialNB	naive_bayes	✅	❌
NMF	decomposition	❌	❌
NearestCentroid	neighbors	❌	❌
NearestNeighbors	neighbors	✅	❌
NeighborhoodComponentsAnalysis	neighbors	✅	❌
Normalizer	preprocessing	✅	❌
NuSVC	svm	✅	❌
NuSVR	svm	✅	❌
Nystroem	kernel_approximation	❌	❌
OAS	covariance	❌	❌
OPTICS	cluster	❌	❌
OneClassSVM	svm	✅	❌
OneHotEncoder	preprocessing	✅	❌
OneVsOneClassifier	multiclass	✅	❌
OneVsRestClassifier	multiclass	✅	❌
OrdinalEncoder	preprocessing	✅	❌
OrthogonalMatchingPursuit	linear_model	✅	❌
OrthogonalMatchingPursuitCV	linear_model	✅	❌
OutputCodeClassifier	multiclass	❌	❌
PCA	decomposition	✅	❌
PLSCanonical	cross_decomposition	❌	❌
PLSRegression	cross_decomposition	✅	❌
PLSSVD	cross_decomposition	❌	❌
PassiveAggressiveClassifier	linear_model	✅	❌
PassiveAggressiveRegressor	linear_model	✅	❌
Perceptron	linear_model	✅	❌
PoissonRegressor	linear_model	✅	❌
PolynomialCountSketch	kernel_approximation	❌	❌
PolynomialFeatures	preprocessing	✅	❌
PowerTransformer	preprocessing	✅	❌
QuadraticDiscriminantAnalysis	discriminant_analysis	✅	❌
QuantileRegressor	linear_model	✅	❌
QuantileTransformer	preprocessing	❌	❌
RANSACRegressor	linear_model	✅	❌
RBFSampler	kernel_approximation	❌	❌
RFE	feature_selection	✅	❌
RFECV	feature_selection	✅	❌
RadiusNeighborsClassifier	neighbors	✅	❌
RadiusNeighborsRegressor	neighbors	✅	❌
RadiusNeighborsTransformer	neighbors	❌	❌
RandomForestClassifier	ensemble	✅	❌
RandomForestRegressor	ensemble	✅	❌
RandomTreesEmbedding	ensemble	✅	❌
RandomizedSearchCV	model_selection	❌	❌
RegressorChain	multioutput	❌	❌
Ridge	linear_model	✅	❌
RidgeCV	linear_model	✅	❌
RidgeClassifier	linear_model	✅	❌
RidgeClassifierCV	linear_model	✅	❌
RobustScaler	preprocessing	✅	❌
SGDClassifier	linear_model	✅	❌
SGDOneClassSVM	linear_model	✅	❌
SGDRegressor	linear_model	✅	❌
SVC	svm	✅	❌
SVR	svm	✅	❌
SelectFdr	feature_selection	✅	❌
SelectFpr	feature_selection	✅	❌
SelectFromModel	feature_selection	✅	❌
SelectFwe	feature_selection	✅	❌
SelectKBest	feature_selection	✅	❌
SelectPercentile	feature_selection	✅	❌
SelfTrainingClassifier	semi_supervised	❌	❌
SequentialFeatureSelector	feature_selection	❌	❌
ShrunkCovariance	covariance	❌	❌
SimpleImputer	impute	✅	❌
SkewedChi2Sampler	kernel_approximation	❌	❌
SparseCoder	decomposition	❌	❌
SparsePCA	decomposition	❌	❌
SparseRandomProjection	random_projection	❌	❌
SpectralBiclustering	cluster	❌	❌
SpectralClustering	cluster	❌	❌
SpectralCoclustering	cluster	❌	❌
SplineTransformer	preprocessing	❌	❌
StackingClassifier	ensemble	✅	❌
StackingRegressor	ensemble	✅	❌
StandardScaler	preprocessing	✅	❌
TargetEncoder	preprocessing	❌	❌
TheilSenRegressor	linear_model	✅	❌
TransformedTargetRegressor	compose	❌	❌
TruncatedSVD	decomposition	✅	❌
TunedThresholdClassifierCV	model_selection	✅	❌
TweedieRegressor	linear_model	✅	❌
VarianceThreshold	feature_selection	✅	❌
VotingClassifier	ensemble	✅	❌
VotingRegressor	ensemble	✅	❌
Number Of Models	194	131	0