Model Development

Examples of building interpretable models, wrapping external models, calibration and hyperparameter tuning in modeva.

ModelZoo

ModelZoo

Built-in Interpretable Models

Gallery examples for MoDeVa’s built-in interpretable models: generalized linear models, decision trees, MoReLUDNN, GAMINet, mixture of experts, linear trees and tree ensembles, together with DirectRS post-processing, ICL-MoE local adaptation and FuseKernel.

Decision Tree Classification

Decision Tree Classification

Decision Tree Regression

Decision Tree Regression

GAMINet Classification

GAMINet Classification

GAMINet Regression

GAMINet Regression

MoReLUDNN Classification

MoReLUDNN Classification

MoReLUDNN Regression

MoReLUDNN Regression

FuseKernel Classification

FuseKernel Classification

Tree Ensemble Models (Regression)

Tree Ensemble Models (Regression)

Linear Regression (Regression)

Linear Regression (Regression)

Logistic Regression (Classification)

Logistic Regression (Classification)

Tree Ensemble Models (Classification)

Tree Ensemble Models (Classification)

Mixture of Expert (MoE) Classification

Mixture of Expert (MoE) Classification

FuseKernel Regression

FuseKernel Regression

Mixture of Expert (MoE) Regression

Mixture of Expert (MoE) Regression

Linear Tree Classification

Linear Tree Classification

Linear Tree Regression

Linear Tree Regression

DirectRS Regression

DirectRS Regression

DirectRS Classification

DirectRS Classification

ICL-MoE Regression

ICL-MoE Regression

ICL-MoE Classification

ICL-MoE Classification

External Models

Wrapping external, arbitrary and scored models for use with modeva.

Wrapping sklearn-style Models

Wrapping sklearn-style Models

Wrapping Arbitrary Regressor

Wrapping Arbitrary Regressor

Wrapping Arbitrary Classifier

Wrapping Arbitrary Classifier

Wrapping H2O Models

Wrapping H2O Models

Wrapping PySpark Models

Wrapping PySpark Models

Wrapping Scored Classifier

Wrapping Scored Classifier

Wrapping Scored Regressor

Wrapping Scored Regressor

Model Calibration

Calibrating classifier probabilities and prediction intervals.

Calibrating Binary Classifier Prediction Interval

Calibrating Binary Classifier Prediction Interval

Calibrating Binary Classifier

Calibrating Binary Classifier

Calibrating Regressor Prediction Interval

Calibrating Regressor Prediction Interval

Hyperparameter Tuning

Hyperparameter search strategies in modeva.

Random Search

Random Search

Grid Search

Grid Search

Particle Swarm Optimization Search

Particle Swarm Optimization Search

Tuning with optuna (Experimental)

Tuning with optuna (Experimental)