classification.md

description
Technique that assigns new observations to categorical labels or classes based on a model built from labeled training data.

Classification

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

Gradient Boosting

Algorithm	Classification
xgboost	XGBClassifier
xgboost_random_forest	XGBRFClassifier
lightgbm	LGBMClassifier
catboost	CatBoostClassifier

Scikit Ensembles

Algorithm	Classification
ada_boost	AdaBoostClassifier
bagging	BaggingClassifier
extra_trees	ExtraTreesClassifier
gradient_boosting_trees	GradientBoostingClassifier
random_forest	RandomForestClassifier
hist_gradient_boosting	HistGradientBoostingClassifier

Support Vector Machines

Algorithm	Classification
svm	SVC
nu_svm	NuSVC
linear_svm	LinearSVC

Linear Models

Algorithm	Classification
linear	LogisticRegression
ridge	RidgeClassifier
stochastic_gradient_descent	SGDClassifier
perceptron	Perceptron
passive_aggressive	PassiveAggressiveClassifier

Other

Algorithm	Classification
gaussian_process	GaussianProcessClassifier