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Bentoml

Initialization of the BentoML integration for ZenML.

The BentoML integration allows you to use the BentoML model serving to implement continuous model deployment.

BentoMLIntegration

Bases: Integration

Definition of BentoML integration for ZenML.

Source code in src/zenml/integrations/bentoml/__init__.py 
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class BentoMLIntegration(Integration):
    """Definition of BentoML integration for ZenML."""

    NAME = BENTOML
    REQUIREMENTS = [
        "bentoml>=1.0.10",
    ]

    @classmethod
    def activate(cls) -> None:
        """Activate the BentoML integration."""
        from zenml.integrations.bentoml import materializers  # noqa
        from zenml.integrations.bentoml import model_deployers  # noqa
        from zenml.integrations.bentoml import services  # noqa

    @classmethod
    def flavors(cls) -> List[Type[Flavor]]:
        """Declare the stack component flavors for BentoML.

        Returns:
            List of stack component flavors for this integration.
        """
        from zenml.integrations.bentoml.flavors import (
            BentoMLModelDeployerFlavor,
        )

        return [BentoMLModelDeployerFlavor]

activate() classmethod

Activate the BentoML integration.

Source code in src/zenml/integrations/bentoml/__init__.py 
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@classmethod
def activate(cls) -> None:
    """Activate the BentoML integration."""
    from zenml.integrations.bentoml import materializers  # noqa
    from zenml.integrations.bentoml import model_deployers  # noqa
    from zenml.integrations.bentoml import services  # noqa

flavors() classmethod

Declare the stack component flavors for BentoML.

Returns:

Type Description
List[Type[Flavor]]

List of stack component flavors for this integration.
Source code in src/zenml/integrations/bentoml/__init__.py 
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@classmethod
def flavors(cls) -> List[Type[Flavor]]:
    """Declare the stack component flavors for BentoML.

    Returns:
        List of stack component flavors for this integration.
    """
    from zenml.integrations.bentoml.flavors import (
        BentoMLModelDeployerFlavor,
    )

    return [BentoMLModelDeployerFlavor]