MoDeVa
User Guide
User Guide
Introduction
Data Processing
Interpretable Models
Generalized Linear Models
Decision Tree
Gradient Boosted Decision Trees
Linear Tree and Gradient Boosted Linear Trees
Neural Tree
GAMI-Net
ReLU Neural Network
Mixture of Experts (MoE)
DirectRS
ICL-MoE
GBDT Leaf Kernel
FuseKernel
Model Wrapping
Model Calibration
Model Explainability
Diagnostic Suite
Low code
API Reference
API Reference
Examples
Examples
Installation
Installation
Modeva
User Guide
Interpretable Models
Interpretable Models
Generalized Linear Models
GLM in MoDeVa
Global Interpretation
Local Interpretation
Examples
Decision Tree
Decision Tree in MoDeVa
Global Interpretation
Local Interpretation
Examples
Gradient Boosted Decision Trees
Mathematical Formulation
GBDT in MoDeVa
Interpretability Through Functional ANOVA
Global Interpretation
Local Interpretation
Monotonicity Constraint in GBDT
Examples
Linear Tree and Gradient Boosted Linear Trees
Linear Tree
Linear Tree in MoDeVa
Gradient Boosted Linear Tree (GBLT)
GBLT in MoDeVa
Global Interpretation
Local Interpretation
Examples
Neural Tree
Model architecture
Neural Tree in MoDeVa
Functional ANOVA Representation
Global Interpretation
Local Interpretation
Monotonicity Constraints in Neural Tree
Examples
GAMI-Net
GAMI-Net in MoDeVa
Functional ANOVA Representation
Global Interpretation
Local Interpretation
Monotonicity Constraints in GAMI-Net
Examples
ReLU Neural Network
Model architecture
Local Linear Models (LLM)
ReLU DNN in MoDeVa
Model Interpretation
Local Interpretation
Examples
Mixture of Experts (MoE)
Model Architecture
MoE in MoDeVa
Interpretation: Functional ANOVA Representation
Global Interpretation
Local Interpretation
Examples
DirectRS
Overview
Model Architecture
Implementation in MoDeVa
Interpretability Features
FANOVA Comparison
Key Classes
ICL-MoE
Overview
Model Architecture
Implementation in MoDeVa
Interpretability Features
FANOVA Comparison
Key Classes
Parameters
GBDT Leaf Kernel
Overview
Prediction Heads
Implementation in MoDeVa
Classification
Local Evidence (TKLE)
Head Nomination
Global Importance and Weakness
In-Context Prediction
Key Classes
FuseKernel
Overview
Model Architecture
Implementation in MoDeVa
Classification
Inherent Interpretation (FANOVA)
Channel Decomposition
Inherent Predictive Uncertainty
Diagnose and Repair
Key Classes