| - added frozen encoder/decoder variants | ||
|---|---|---|
| analysis | ||
| data_import | ||
| data_preprocess | ||
| evaluation | ||
| interpretation | ||
| post_process | ||
| production | ||
| train | ||
| translation | ||
| .gitignore | ||
| README.md | ||
		
			
				
				README.md
			
		
		
			
			
		
	
	hipom_data_mapping
Before we begin
This repository utilizes .py files rather than .ipynb for greater clarity.
If you use vscode, just use the ipython functionality from .py files.
In order to generate .ipynb file from .py file, you can do the following:
jupytext --to notebook your_script.py
Order of Execution
- data_import: Import data from database
- data_preprocess: Apply pre-process method
- train: Train mapping model and apply model on test data
- post_process: Apply post-processing method