The Modeling Building Block focuses on the modeling and training of new classifiers based on biosignal features and respective labels for higher level states such as cognitive workload, emotions, or flow.
Pipelines take features from biosignal data and respective labels as input and train a classifier with established methods. The output of the pipelines are these classifiers which can be used to predict the respective states based on the data.
Developed models and classifier from the modelling block can be uploaded as pipeline to the Consumption Building Block afterwards.
The Modeling Building Block is currently in development and pipelines will be presented soon
💻 How To Use?
To use a HUBII pipeline select the pipeline you want to use for modeling. On the pipeline page you find all relevant information which data you need in what format and what the pipeline provides as output. For the usage, there are two options:
Graphical User Interface
Interact with a Graphical User Interface. The link is on the website of the pipeline.
Standard API Call
Send a request to the endpoint via an API call method of your choice (Postman, curl, or any other method).
Send an API call to the pipeline and wait for the response. That’s it 😊
🗄️ Pipelines
- All
- Pipeline
At the moment there are no modeling pipelines to display yet. We are working on providing pipelines as soon as possible! 😊