omega-ml
Introduction
User Guide
Getting started
Generative AI
Classic ML
Tutorial for classic ML
Loading datasets for training
Training models
Evaluating models
Deploying models
Adding business logic to models
Serving models for real-time predictions
Tracking and monitoring models
Working with models
Introduction to models
Capturing model metrics
Adding business logic to models
Working with ML frameworks
Monitoring model and data drift
Working with datasets
Task Automation
Deployment and Operations
Command-line interface
Advanced features
Deploying omega-ml
Extending omega-ml
Reference
Support
Changes
omega-ml
You're reading the documentation for a development version. For the latest released version, please have a look at
release/0.17.0
.
User Guide
Classic ML
Tutorial for classic ML
Working with models
View page source
Working with models
ΒΆ
Introduction to models
Storing models
Using models to predict
Model versioning
Using the compute cluster
Capturing model metrics
Running an experiment
Tracking experiments with multiple steps
Tracking model execution at runtime
Customizing tracking behavior
Adding business logic to models
Business logic in virtual objects
Working with ML frameworks
Tensorflow
MLFlow
Monitoring model and data drift
Experiment Tracking
Data Drift
Model Drift
Automated Drift Monitoring
Understanding the Tracking and Monitoring System
What is drift monitoring?
How does it work?
What is a snapshot?
How is drift identified?
Other Versions
v: master
Tags
0.11.3
0.11.4
0.12.0
0.13.0
0.13.2
0.13.4
0.13.5
0.13.6
0.13.7
0.14.0
0.15.1
0.15.2
latest
0.15.3
0.15.5
0.16.0
0.16.1
0.16.2
0.16.3
0.16.4
0.17.0
0.4
0.5
0.9
stable
Branches
master