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Evidently

Initialization of the Evidently integration.

The Evidently integration provides a way to monitor your models in production. It includes a way to detect data drift and different kinds of model performance issues.

The results of Evidently calculations can either be exported as an interactive dashboard (visualized as an html file or in your Jupyter notebook), or as a JSON file.

EvidentlyIntegration

Bases: Integration

Evidently integration for ZenML.

Source code in src/zenml/integrations/evidently/__init__.py 
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class EvidentlyIntegration(Integration):
    """[Evidently](https://github.com/evidentlyai/evidently) integration for ZenML."""

    NAME = EVIDENTLY
    REQUIREMENTS = [
        "evidently>=0.4.16,<=0.4.22",
        "tenacity!=8.4.0",  # https://github.com/jd/tenacity/issues/471
    ]
    REQUIREMENTS_IGNORED_ON_UNINSTALL = ["tenacity", "pandas"]

    @classmethod
    def get_requirements(cls, target_os: Optional[str] = None) -> List[str]:
        """Method to get the requirements for the integration.

        Args:
            target_os: The target operating system to get the requirements for.

        Returns:
            A list of requirements.
        """
        from zenml.integrations.pandas import PandasIntegration

        return cls.REQUIREMENTS + \
            PandasIntegration.get_requirements(target_os=target_os)

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

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

        return [EvidentlyDataValidatorFlavor]

flavors() classmethod

Declare the stack component flavors for the Great Expectations integration.

Returns:

Type Description
List[Type[Flavor]]

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

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

    return [EvidentlyDataValidatorFlavor]

get_requirements(target_os=None) classmethod

Method to get the requirements for the integration.

Parameters:

Name Type Description Default
target_os Optional[str]

The target operating system to get the requirements for.

 None

Returns:

Type Description
List[str]

A list of requirements.
Source code in src/zenml/integrations/evidently/__init__.py 
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@classmethod
def get_requirements(cls, target_os: Optional[str] = None) -> List[str]:
    """Method to get the requirements for the integration.

    Args:
        target_os: The target operating system to get the requirements for.

    Returns:
        A list of requirements.
    """
    from zenml.integrations.pandas import PandasIntegration

    return cls.REQUIREMENTS + \
        PandasIntegration.get_requirements(target_os=target_os)