regression.md

description
Statistical method used to model the relationship between a dependent variable and one or more independent variables.

Regression

We currently support regression algorithms from scikit-learn, XGBoost, and LightGBM.

Gradient Boosting

Algorithm	Regression
xgboost	XGBRegressor
xgboost_random_forest	XGBRFRegressor
lightgbm	LGBMRegressor
catboost	CatBoostRegressor

Scikit Ensembles

Algorithm	Regression
ada_boost	AdaBoostRegressor
bagging	BaggingRegressor
extra_trees	ExtraTreesRegressor
gradient_boosting_trees	GradientBoostingRegressor
random_forest	RandomForestRegressor
hist_gradient_boosting	HistGradientBoostingRegressor

Support Vector Machines

Algorithm	Regression
svm	SVR
nu_svm	NuSVR
linear_svm	LinearSVR

Linear Models

Algorithm	Regression
linear	LinearRegression
ridge	Ridge
lasso	Lasso
elastic_net	ElasticNet
least_angle	LARS
lasso_least_angle	LassoLars
orthoganl_matching_pursuit	OrthogonalMatchingPursuit
bayesian_ridge	BayesianRidge
automatic_relevance_determination	ARDRegression
stochastic_gradient_descent	SGDRegressor
passive_aggressive	PassiveAggressiveRegressor
ransac	RANSACRegressor
theil_sen	TheilSenRegressor
huber	HuberRegressor
quantile	QuantileRegressor

Other

Algorithm	Regression
kernel_ridge	KernelRidge
gaussian_process	GaussianProcessRegressor