This project contains a complete example of a machine-learning pipeline.
In particular, we'll see how
- Define a
DataLoader - Define multiple data
Processor - Define a SVM classifier
Model - Train and evaluate our classifier with a
Pipeline
We consider the IMDB data to perform a binary classification for sentiment analysis.
Check the online documentation of cinnamon-examples for a detailed walkthrough on the project.
Want to use the Component and Configuration of this example project?
You can quickly integrate them into your project by adding this Github repo as follows:
Registry.setup(directory=...,
external_directories=[
...,
"https://github.com/nlp-unibo/cinnamon_examples"
])Done! Cinnamon will automatically import all registered Configuration under configurations folders.
You can code your custom Configuration with children pointing to the RegistrationKey of this project!
Don't hesitate to contact:
- Federico Ruggeri @ [email protected]
for questions/doubts/issues!