TriGraph: A Probabilistic Subgraph-Based Model for Visual Code Completion in Pure Data (Package)

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Autori principali: Islam, Anisha, Hindle, Abram
Natura: Recurso digital
Pubblicazione: Zenodo 2024
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author Islam, Anisha
Hindle, Abram
author_facet Islam, Anisha
Hindle, Abram
contents <p>This page provides the code for the two models used in <em><strong>TriGraph: A Probabilistic Subgraph-Based Model for Visual Code Completion in Pure Data.</strong></em> The graph-based prediction model is available in the <em>TriGraph.zip</em> file, and the baseline KenLM module is in the <em>Kenlm-for-PD-node-prediction.zip</em> file. To run the prediction models for Pure Data, unzip the folders and follow the instructions in each model's <code>README.md</code> file.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_14060762
institution Zenodo
language
publishDate 2024
publisher Zenodo
record_format zenodo
spellingShingle TriGraph: A Probabilistic Subgraph-Based Model for Visual Code Completion in Pure Data (Package)
Islam, Anisha
Hindle, Abram
Visual Programming Language
Pure Data
Probabilistic Models
Graph Analysis
Code Completion
<p>This page provides the code for the two models used in <em><strong>TriGraph: A Probabilistic Subgraph-Based Model for Visual Code Completion in Pure Data.</strong></em> The graph-based prediction model is available in the <em>TriGraph.zip</em> file, and the baseline KenLM module is in the <em>Kenlm-for-PD-node-prediction.zip</em> file. To run the prediction models for Pure Data, unzip the folders and follow the instructions in each model's <code>README.md</code> file.</p>
title TriGraph: A Probabilistic Subgraph-Based Model for Visual Code Completion in Pure Data (Package)
topic Visual Programming Language
Pure Data
Probabilistic Models
Graph Analysis
Code Completion
url https://doi.org/10.5281/zenodo.14060762