Thank you, Michael,

I guess I have to update my vernacular to use 'ML'.

Generally, I want to point the ML to a large dataset and have it churn through the numbers given some 'goal' (or otherwise correlate the dataset to an outcome found in the dataset.

Then I would like to be able to possibly use JSON to pass smaller datasets to the ML to have it process those using the data in the larger dataset.

Thanks All,

Paul

Hey Paul,

Neural networks or machine learning (ML) more generally speaking? No. Integration in general? Plenty. I don't expect such ML packages to provide PowerScript interfaces. However, I would expect REST-based interop, API defined in .NET/.NET Core and/or in JavaScript.

• REST interfaces are callable from PB 2017 R3
• C# on .NET Core is PB 2018's server-side programming platform
• HTML/JS can be embedded in PB using any release within the last decade or so.

Re: HTML/JS embedding

There are many ways to do this. I have a design based on interface constructs that I will present at Elevate 2018. I used it first for embedding web-GIS maps in 20+ years old PB legacy code, typical PFC client/server.

A couple of issues to look out for:

1. How does your ML model make callbacks to your code?
2. How do you pass potentially complex data, potentially large volume of data back and forth between the ML model and your PB code?

Enjoy,

/Michael