Interpretable Models#

Regression#

`models.ModelBaseRegressor`	Base Class for Modeva Regressors.
`models.MoElasticNet`	A lightweight wrapper of `sklearn.linear_model.ElasticNet`.
`models.MoDecisionTreeRegressor`	A lightweight wrapper of `sklearn.tree.DecisionTreeRegressor`.
`models.MoGradientBoostingRegressor`	A lightweight wrapper of `sklearn.ensemble.GradientBoostingRegressor`.
`models.MoRandomForestRegressor`	A lightweight wrapper of `sklearn.ensemble.RandomForestRegressor`.
`models.MoLGBMRegressor`	A lightweight wrapper of `lightgbm.LGBMRegressor`.
`models.MoCatBoostRegressor`	A lightweight wrapper of catboost.CatBoostRegressor.
`models.MoXGBRegressor`	A lightweight wrapper of `xgboost.XGBRegressor`.
`models.MoReLUDNNRegressor`	A deep neural network regressor using ReLU activation functions.
`models.MoGAMINetRegressor`	Generalized additive model with pairwise interaction regressor.
`models.MoGLMTreeRegressor`	A tree-based model that fits linear regression models in the leaves.
`models.MoGLMTreeBoostRegressor`	GLMTree Boosting regressor using residual-based boosting.
`models.MoNeuralTreeRegressor`	A neural network-based regression model that combines GLM trees with monotonicity constraints.
`models.MoMoERegressor`	A Mixture of Experts (MoE) regressor that combines multiple expert models for regression tasks.

`models.ModelBaseClassifier`	Base Class for Modeva Classifiers.
`models.MoLogisticRegression`	A lightweight wrapper of `sklearn.linear_model.LogisticRegression`.
`models.MoDecisionTreeClassifier`	A lightweight wrapper of `sklearn.tree.DecisionTreeClassifier`.
`models.MoGradientBoostingClassifier`	A lightweight wrapper of `sklearn.ensemble.GradientBoostingClassifier`.
`models.MoRandomForestClassifier`	A lightweight wrapper of `sklearn.ensemble.RandomForestClassifier`.
`models.MoLGBMClassifier`	A lightweight wrapper of `lightgbm.LGBMClassifier`.
`models.MoCatBoostClassifier`	A lightweight wrapper of catboost.CatBoostClassifier.
`models.MoXGBClassifier`	A lightweight wrapper of `xgboost.XGBClassifier`.
`models.MoReLUDNNClassifier`	A deep neural network classifier using ReLU activation functions.
`models.MoGAMINetClassifier`	Generalized additive model with pairwise interaction classifier.
`models.MoGLMTreeClassifier`	A tree-based model that fits logistic regression models in the leaves for binary classification.
`models.MoGLMTreeBoostClassifier`	GLMTree Boosting classifier using residual-based boosting.
`models.MoNeuralTreeClassifier`	A neural network-based classification model that combines GLM trees with monotonicity constraints.
`models.MoMoEClassifier`	A Mixture of Experts (MoE) classifier that combines multiple expert models for classification tasks.