Deepchecks
Deepchecks integration for ZenML.
The Deepchecks integration provides a way to validate your data in your pipelines. It includes a way to detect data anomalies and define checks to ensure quality of data.
The integration includes custom materializers to store and visualize Deepchecks
SuiteResults
.
DeepchecksIntegration
Bases: Integration
Definition of Deepchecks integration for ZenML.
Source code in src/zenml/integrations/deepchecks/__init__.py
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activate()
classmethod
Activate the Deepchecks integration.
Source code in src/zenml/integrations/deepchecks/__init__.py
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flavors()
classmethod
Declare the stack component flavors for the Deepchecks integration.
Returns:
Type | Description |
---|---|
List[Type[Flavor]]
|
List of stack component flavors for this integration. |
Source code in src/zenml/integrations/deepchecks/__init__.py
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get_requirements(target_os=None, python_version=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
|
python_version
|
Optional[str]
|
The Python version to use for the requirements. |
None
|
Returns:
Type | Description |
---|---|
List[str]
|
A list of requirements. |
Source code in src/zenml/integrations/deepchecks/__init__.py
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