Wolfram Language Paclet Repository
Community-contributed installable additions to the Wolfram Language
Code generation by filling in templates using NLP techniques
Contributed by: Anton Antonov
Code generation by filling in templates using NLP techniques
To install this paclet in your Wolfram Language environment,
evaluate this code:
PacletInstall["AntonAntonov/NLPTemplateEngine"]
Here we generate classifier creation code:
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Here we generate quantile regression pipeline code:
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The pre-loaded templates are used to produce Machine Learning (ML) computational workflow specifications for: Classification, Latent Semantic Analysis, Quantile Regression, Recommendations, Random tabular data generation. The implementations are in Python, R, and WL. Here is example of Python recommender creation spec:
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Load the NLP-Template-Engine:
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Get the "training" templates data (from CSV file you have created or changed) for a new workflow ("SendMail"):
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Add the ingested data for the new workflow (from the CSV file) into the NLP-Template-Engine:
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Parse natural language specification with the newly ingested and on-boarded workflow ("SendMail"):
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Wolfram Language Version 13.2