NetworkxAttachNumpyFeatures¶
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class
caldera.transforms.networkx.NetworkxAttachNumpyFeatures(x, from_key, to_key, *, default=Ellipsis, encoding=None, join_func='hstack', global_key=None, **processing_kwargs)[source]¶ Initialize transform that converts networkx features to a
np.ndarray- Parameters
x (
str) – ‘edge’, ‘node’, or ‘global’from_key (
str) – dictionary key to find featureto_key (
str) – new key to attach featuredefault (
Any) –encoding (
Union[str,Callable[[Iterable[~T]],Iterable[~T]],None]) –join_func (
Union[str,Callable[[ndarray,ndarray],ndarray]]) – select from ‘hstack’, ‘vstack’ or provide a new join functionglobal_key (
Optional[str]) –processing_kwargs –
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__init__(x, from_key, to_key, *, default=Ellipsis, encoding=None, join_func='hstack', global_key=None, **processing_kwargs)[source]¶ Initialize transform that converts networkx features to a
np.ndarray- Parameters
x (
str) – ‘edge’, ‘node’, or ‘global’from_key (
str) – dictionary key to find featureto_key (
str) – new key to attach featuredefault (
Any) –encoding (
Union[str,Callable[[Iterable[~T]],Iterable[~T]],None]) –join_func (
Union[str,Callable[[ndarray,ndarray],ndarray]]) – select from ‘hstack’, ‘vstack’ or provide a new join functionglobal_key (
Optional[str]) –processing_kwargs –
Methods
__init__(x, from_key, to_key, *[, default, …])Initialize transform that converts networkx features to a
np.ndarraygenerate(datalist)- param datalist
transform(g)- param g
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__init__(x, from_key, to_key, *, default=Ellipsis, encoding=None, join_func='hstack', global_key=None, **processing_kwargs)[source]¶ Initialize transform that converts networkx features to a
np.ndarray- Parameters
x (
str) – ‘edge’, ‘node’, or ‘global’from_key (
str) – dictionary key to find featureto_key (
str) – new key to attach featuredefault (
Any) –encoding (
Union[str,Callable[[Iterable[~T]],Iterable[~T]],None]) –join_func (
Union[str,Callable[[ndarray,ndarray],ndarray]]) – select from ‘hstack’, ‘vstack’ or provide a new join functionglobal_key (
Optional[str]) –processing_kwargs –