AntonAntonov/
                  
                  
                      NLPTemplateEngine
                    
                
              
              
              
              
              
             
          
        
          
            
              Installation Instructions
            
            
              To install this paclet in your Wolfram Language environment,
              evaluate this code:
              
                PacletInstall["AntonAntonov/NLPTemplateEngine"]
              
            
            
              
              
                To load the code after installation, evaluate this code:
                
                  Needs["AntonAntonov`NLPTemplateEngine`"]
                
              
            
           
        
        
          
          
            
Examples
            
          
          
            
          
          
            
            Basic Examples (2) 
Here we generate classifier creation code:
Here we generate quantile regression pipeline code:
Scope (10) 
Association result (1) 
Here we get an association result:
Different language targets (2) 
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:
Here is an example of an R pipeline generation for Quantile Regression:
Introspection question and answers (2) 
Concretize can answer "introspection" questions. For example, here we get the WL template for recommendations:
Here we query the number of templates (known):
Bring your own templates (4) 
Load the NLP-Template-Engine:
Get the "training" templates data (from CSV file you have created or changed) for a new workflow ("SendMail"):
Add the ingested data for the new workflow (from the CSV file) into the NLP-Template-Engine:
Parse natural language specification with the newly ingested and on-boarded workflow ("SendMail"):
Screenshot (1) 
Here is a screenshot with an example of using Concretize for random tabular data generation:
 
            
           
          
            Publisher
            Anton Antonov
          
          
          
            Disclosures
            
          
          
            Compatibility
            
              Wolfram Language Version 13.2
            
          
          
            External Links
            
          
          
          
            Version History
            
              
                - 1.0.6
                  
                    
                      – 28 August 2024
                    
                  
                  
                  
                
 
              
                - 1.0.5
                  
                    
                      – 16 August 2024
                    
                  
                  
                  
                
 
              
                - 1.0.4
                  
                    
                      – 15 August 2024
                    
                  
                  
                  
                
 
              
                - 1.0.3
                  
                    
                      – 14 April 2023
                    
                  
                  
                  
                
 
              
                - 1.0.2
                  
                    
                      – 13 April 2023
                    
                  
                  
                  
                
 
              
                - 1.0.1
                  
                    
                      – 13 April 2023
                    
                  
                  
                  
                
 
              
                - 1.0.0
                  
                    
                      – 12 April 2023
                    
                  
                  
                  
                
 
              
            
          
          
          
            
            Artistic License 2.0
          
          
          
            Paclet Source
            
          
          
            
            
          
          
            See Also