Solace is a messaging middleware that supports event-driven
architectures. It provides features like publish-subscribe, message queues, and
event streaming.
Spring Boot is a Java framework that simplifies
building applications, especially microservices.
Solace and Spring Boot, when combined, enable building
real-time, event-driven, and scalable applications. Here are some real-world
problems they can solve effectively:
This post will explain, how we can Download, install and
Configure Visual Studio for ML.Net Model Builder.
Click on Free download under Community
Right click on the .exe which is downloaded on your local
system
Run as Administrator
Once it starts installing below screen will show
Under workloads – select different workloads for your
requirement and for ML Model Builder we need to select .NET desktop development
We can select other workloads as well based on our
requirement.
There are other workloads like Data science and
analytical applications and Data storage and processing
Under this workload we need to select ML.NET Model
Builder – If it is not selected
Check for Location, where you want to install and Total
space is required.
After successful installation, open IDE and create new
project and select appropriate template
And class library, as per below image shows, and I have
selected here .NET or .NET Standard
After that, give the meaningful project name.
Select correct framework
Once everything is done, visual studio will open and looks
like below.
Manage Data -> Train Data -> Evaluate Models ->
Deploy Model
Once you click on Machine Learning Model, then below page
will display and u can name to your model config, which has all the
configurations for that model.
Once create that file, below image will display with different
GUI feature for data in Model Builder.
There are different types of scenarios like – Data
classification, Value prediction, Recommendation, Image classification.
You can select any one scenario, based on your requirement.
We will have different types of model builders in the market
Google Vertex AI (AutoML)
Microsoft Azure Machine Learning Studio
IBM Watson AutoAI
Lobe (by Microsoft)
Teachable Machine (by Google)
Spring AI is an application framework for AI engineering.
Its goal is to apply to the AI domain Spring ecosystem design principles such as portability and modular design and promote using POJOs as the building blocks of an application to the AI domain.
