User Guide
This guide is for data scientists and ML engineers who want to run ML pipelines and use trained models.
Sections
Getting Started
Set up your environment and run your first pipeline
Sklearn Pipeline
Run the fraud detection pipeline
TensorFlow Pipeline
Run the image classification pipeline
MLflow UI
Track experiments and compare models
In This Section
- Getting Started
Set up your environment and run your first pipeline
- Sklearn Pipeline
Fraud detection pipeline using Scikit-learn
- TensorFlow Pipeline
Image classification pipeline using TensorFlow
- MLflow UI
Track experiments and compare models