Decision Rules

Package implementing decision rules. The package allows user to define and process decision rules as Python objects and perform operations on datasets to which these rules apply.

Three types of problems are supported:

• classification

• regression

• survival

Functionalities includes, but is not limited to:

• serialization and deserialization

• prediction

• summary statistics

• comparison between rules (semantic and syntactic)

• Introduction

• Tutorials
  • Define rules manually
  • Evaluate regression rules
  • Generate rules using RuleKit algorithm
  • Generate rules using CN2 algorithm
  • Illustrative examples
• API Documentation
  • decision_rules.classification
  • decision_rules.core
  • decision_rules.helpers package
  • decision_rules.importances package
  • decision_rules.regression
  • decision_rules.serialization
  • decision_rules.similarity
  • decision_rules.survival
  • decision_rules.conditions
  • decision_rules.histogram
  • decision_rules.measures
  • decision_rules.problem
  • decision_rules.settings