Djinn is a version of Tonic that is intended specifically for data scientists.
In Djinn, you create models. For each model, you configure a SQL query to retrieve a subset of data for Djinn to transform and to train. The training process uses the Tonic AI Synthesizer to generate synthetic data.
A model provides a view of the underlying data that is specified by the SQL query. It represents a downstream analysis or a data science task to answer a specific question.
You can export the results to a Jupyter notebook, and use Jupyter analysis and visualizations to verify that the transformed data corresponds accurately to the source data. You can also export generated model data to a CSV file, and use the trained data for other analysis.
At a high level, in Djinn, you: