Scipy
zenml.integrations.scipy
Initialization of the Scipy integration.
Attributes
SCIPY = 'scipy'
module-attribute
Classes
Integration
Base class for integration in ZenML.
Functions
activate() -> None
classmethod
Abstract method to activate the integration.
Source code in src/zenml/integrations/integration.py
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check_installation() -> bool
classmethod
Method to check whether the required packages are installed.
Returns:
Type | Description |
---|---|
bool
|
True if all required packages are installed, False otherwise. |
Source code in src/zenml/integrations/integration.py
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flavors() -> List[Type[Flavor]]
classmethod
Abstract method to declare new stack component flavors.
Returns:
Type | Description |
---|---|
List[Type[Flavor]]
|
A list of new stack component flavors. |
Source code in src/zenml/integrations/integration.py
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get_requirements(target_os: Optional[str] = None, python_version: Optional[str] = None) -> List[str]
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/integration.py
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get_uninstall_requirements(target_os: Optional[str] = None) -> List[str]
classmethod
Method to get the uninstall 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/integration.py
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plugin_flavors() -> List[Type[BasePluginFlavor]]
classmethod
Abstract method to declare new plugin flavors.
Returns:
Type | Description |
---|---|
List[Type[BasePluginFlavor]]
|
A list of new plugin flavors. |
Source code in src/zenml/integrations/integration.py
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ScipyIntegration
Bases: Integration
Definition of scipy integration for ZenML.
Functions
activate() -> None
classmethod
Activates the integration.
Source code in src/zenml/integrations/scipy/__init__.py
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Modules
materializers
Initialization of the Scipy materializers.
Classes
Modules
sparse_materializer
Implementation of the Scipy Sparse Materializer.
SparseMaterializer(uri: str, artifact_store: Optional[BaseArtifactStore] = None)
Bases: BaseMaterializer
Materializer to read and write scipy sparse matrices.
Source code in src/zenml/materializers/base_materializer.py
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extract_metadata(mat: spmatrix) -> Dict[str, MetadataType]
Extract metadata from the given spmatrix
object.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
mat
|
spmatrix
|
The |
required |
Returns:
Type | Description |
---|---|
Dict[str, MetadataType]
|
The extracted metadata as a dictionary. |
Source code in src/zenml/integrations/scipy/materializers/sparse_materializer.py
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load(data_type: Type[Any]) -> spmatrix
Reads spmatrix from npz file.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
data_type
|
Type[Any]
|
The type of the spmatrix to load. |
required |
Returns:
Type | Description |
---|---|
spmatrix
|
A spmatrix object. |
Source code in src/zenml/integrations/scipy/materializers/sparse_materializer.py
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save(mat: spmatrix) -> None
Writes a spmatrix to the artifact store as a npz file.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
mat
|
spmatrix
|
The spmatrix to write. |
required |
Source code in src/zenml/integrations/scipy/materializers/sparse_materializer.py
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