PySCIPOpt-ML Logo

Getting Started

  • Basics

Examples

  • Basic Example - Function Approximation
  • Advanced Example - Wine Manufacturer
  • Library of Examples - SurrogateLIB

Machine Learning Models

  • Supported ML Models
  • Mixed Integer Formulations

Reference

  • API Reference manual
    • Generic Predictor Constraint
    • Scikit-learn regression models
      • Linear Regression Constraint
      • Partial Least Square Regression Constraint
      • Logistic Regression Constraint
      • Centroid Based Clustering Constraint
      • Decision Tree Regressor Constraint
      • Gradient Boosting Regressor Constraint
      • Random Forest Constraint
      • Pipeline Constraint
      • Support Vector Constraint
      • MLP Constraint
      • MultiOutput Constraint
      • Scikit-Learn Helper
    • Pytorch Sequential Network Constraint
    • Keras Model / Keras Sequential Network Constraint
    • ONNX ModelProto Constraint
    • XGBoost Constraint
    • LightGBM Constraint
  • Similar Software
  • Bibliography
PySCIPOpt-ML
  • API Reference manual
  • Scikit-learn regression models
  • View page source

Scikit-learn regression models

Functions and modeling object for Scikit-learn models

  • Linear Regression Constraint
  • Partial Least Square Regression Constraint
  • Logistic Regression Constraint
  • Centroid Based Clustering Constraint
  • Decision Tree Regressor Constraint
  • Gradient Boosting Regressor Constraint
  • Random Forest Constraint
  • Pipeline Constraint
  • Support Vector Constraint
  • MLP Constraint
  • MultiOutput Constraint

Utility

  • Scikit-Learn Helper
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