MoDeVa
User Guide API Reference Examples Start free
User Guide API Reference Examples Start free
User Guide

Getting Started

  • Introduction

Data

  • Basic Data Operations
  • Exploratory Data Analysis
  • Feature Selection
  • Outlier Detection
  • Subsampling and Data Drift
  • Feature Engineering

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 Wrappers
  • Model Zoo and Leaderboard
  • Model Tuning

Calibration

  • Model Probability Calibration
  • Interval Calibration for Regression
  • Interval Calibration for Classification

Explainability

  • Global Explainability
  • Local Explainability

Diagnostics

  • Performance and Residual Analysis
  • Weakness Detection
  • Underfitting and Overfitting
  • Reliability
  • Robustness
  • Resilience
  • Fairness
  • AMIF Weakness Region Diagnostics

Low Code

  • Registry Hub
  • Data Summary
  • EDA 2D Charts
  • EDA 3D Scatter
  • EDA Multivariate
  • Data Processing
  • Model Training
  • Model Tuning
  • Model Test
  • Model Comparison
  • Model Explainability
  • Weakness Test

User Guide

MoDeVa covers the full workflow: data processing, model wrapping and training, calibration, explainability, interpretable models, and the diagnostic test suite. Pick a topic from the sidebar to get started.

pip install modeva

MoDeVa

An integrated toolkit for interpretable model development and validation.

pip install modeva

Documentation

  • User Guide
  • API Reference
  • Examples

Get started

  • Start free
  • PyPI

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