Verta
Verta
Overview
Experiment Management
Registry
Deployment
Monitoring
Collaboration
Tutorials
Logging and querying model metadata
Versioning data in Verta
Setting Verta Config for the Python client
Deploying models
Deploying a scikit-learn model
Deploying a PyTorch model
Deploying a Tensorflow model
Deploying a XGBoost model
Deploying a pure function
Deploying a multi-framework model
Examples
Resources
API Reference
Python
CLI
Tutorials
Here are the articles in this section:
Logging and querying model metadata
Versioning data in Verta
Setting Verta Config for the Python client
Deploying models
Deploying a scikit-learn model
Deploying a PyTorch model
Deploying a Tensorflow model
Deploying a XGBoost model
Deploying a pure function
Deploying a multi-framework model
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Logging and querying model metadata
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