I produced a series of indicators from fairly homogeneous flows in sources and treatments.
I now want to produce a new indicator fairly close to the previous ones,
so how to use Machine Learning of DSS to automatically generate a new flow based on the model created from the initial processes?
with deep learning, analyze all the code produced by the Recipes
to understand the sources and the treatments carried out,
therefore learn the treatments necessary to achieve some type of results.
Use this knowledge to generate the new treatments needed to calculate a new indicator.