omega-ml
0.16.3
Introduction
User Guide
Getting started
Working with datasets
Working with models
Introduction to models
Capturing model metrics
Adding business logic to models
Working with ML frameworks
Tensorflow
Working MLFlow models
Monitoring model and data drift
Working with notebooks
Working with scripts
Working with streams
Deploying models and pipelines
Command-line interface
Advanced features
Integration
Administration
Development Guide
Reference
Tutorial Notebooks
Screenshots
More information
Changes
omega-ml
You're reading the documentation for a development version. For the latest released version, please have a look at
release/0.16.3
.
User Guide
Working with models
Working with ML frameworks
View page source
Working with ML frameworks
ΒΆ
Tensorflow
Concepts
Keras models
tf.data.Dataset
Working MLFlow models
Using mlflow saved models
Using a MLModel file
Using a mlflow Model or PythonModel
Serving mlflow model runs
Model frameworks supported via mlflow
Disclaimer and License
Other Versions
v: master
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stable
Branches
master