https://github.com/idsia/credici

Credici: Credal Inference for Causal Inference
https://github.com/idsia/credici

causal-inference causal-models causality credal imprecise-probability probabilistic-graphical-models

Last synced: about 2 months ago
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Credici: Credal Inference for Causal Inference

• Host: GitHub
• URL: https://github.com/idsia/credici
• Owner: IDSIA
• License: lgpl-3.0
• Created: 2020-06-12T14:48:46.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2024-03-20T06:38:45.000Z (about 1 year ago)
• Last Synced: 2024-03-20T07:40:41.509Z (about 1 year ago)
• Topics: causal-inference, causal-models, causality, credal, imprecise-probability, probabilistic-graphical-models
• Language: Java
• Homepage: https://credici.readthedocs.io/
• Size: 978 MB
• Stars: 13
• Watchers: 8
• Forks: 1
• Open Issues: 10
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

Awesome Lists containing this project

README

        


Credici is an open-source library that allows to use credal inference methods

for causal analysis:

```

import ch.idsia.credici.inference.CredalCausalApproxLP;

import ch.idsia.credici.inference.CredalCausalVE;

import ch.idsia.credici.model.StructuralCausalModel;

import ch.idsia.crema.IO;

import ch.idsia.crema.factor.credal.linear.IntervalFactor;

import ch.idsia.crema.factor.credal.vertex.VertexFactor;

import ch.idsia.crema.model.graphical.specialized.BayesianNetwork;

import gnu.trove.map.TIntIntMap;

import gnu.trove.map.hash.TIntIntHashMap;

import java.io.IOException;

public class EquationlessFromFile {

    public static void main(String[] args) throws IOException, InterruptedException {

        // Load the empirical model

        String fileName = "./models/simple-bayes.uai";

        BayesianNetwork bnet = (BayesianNetwork) IO.read(fileName);

        // Get the markovian equationless SCM

        StructuralCausalModel causalModel = StructuralCausalModel.of(bnet);

        // Set query

        TIntIntMap intervention = new TIntIntHashMap();

        intervention.put(0,1);

        int target = 1;

        // Approx inference

        CredalCausalAproxLP inf = new CredalCausalAproxLP(causalModel, bnet.getFactors());

        IntervalFactor res = inf.doQuery(target, intervention);

        System.out.println(res);

        //Exact inference

        CredalCausalVE inf2 = new CredalCausalVE(causalModel, bnet.getFactors());

        VertexFactor res2 = inf2.doQuery(target, intervention);

        System.out.println(res2);

        

    }

}

```

## Installation

Add the following code in the  pom.xml of your project:

```

    

        

            cremaRepo

            https://raw.github.com/idsia/crema/mvn-repo/

        

    

    

        

            ch.idsia

            credici

            0.1.4

            compile

        

    

```