H2O MLOps overview¶
H2O MLOps is an open, interoperable platform for model deployment, management, governance, monitoring, and alerting that features integration with H2O Driverless AI, H2O-3 open source, and third-party models.
Driverless AI compatibility¶
To determine whether a specific version of Driverless AI is compatible with MLOps, refer to the following table:
MLOps version | Driverless AI version |
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0.40.0 - 0.41.1 | 1.9.0.3 - 1.9.0.6 |
0.41.2 - 0.52.0 | 1.9.3 - 1.9.3.1 |
0.52.1 - 0.54.0 | 1.9.3 - 1.10.1.3 |
0.54.1 - 0.55.0 | 1.9.3 - 1.10.2 |
0.56.0 | 1.9.3 - 1.10.2 |
0.56.1 | 1.9.3 - 1.10.3 |
0.57.0 - 0.57.2 | 1.9.3 - 1.10.3.1 |
0.57.3 | 1.9.3 - 1.10.3.1, 1.10.4 |
0.58.x | 1.9.3 - 1.10.4 |
Index¶
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Projects:
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Experiments:
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Model deployment:
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MLOps Python client:
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Python client examples:
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MLflow examples:
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Model registry:
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Registered models:
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Registered model versions:
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External registry:
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Model monitoring:
Send feedback on H2O MLOps to cloud-feedback@h2o.ai