NetworkxAttachNumpyBool

class caldera.transforms.networkx.NetworkxAttachNumpyBool(x, from_key, to_key, *, default=Ellipsis, join_func='hstack', global_key=None, classes=None, num_classes=None)

Initialize transform that converts encodes networkx into a boolean represented as np.ndarray of size 1.

E.g. True gets encoded as np.ndarray([1.])

Parameters

• x (str) – ‘edge’, ‘node’, ‘global’

• from_key (str) – dictionary key to find feature

• to_key (str) – new key to attach feature

• default (Any) –

• join_func (str) –

• global_key (Optional[str]) –

• classes (Optional[List[str]]) –

• num_classes (Optional[int]) –

__init__(x, from_key, to_key, *, default=Ellipsis, join_func='hstack', global_key=None, classes=None, num_classes=None)

Initialize transform that converts encodes networkx into a boolean represented as np.ndarray of size 1.

E.g. True gets encoded as np.ndarray([1.])

Parameters

• x (str) – ‘edge’, ‘node’, ‘global’

• from_key (str) – dictionary key to find feature

• to_key (str) – new key to attach feature

• default (Any) –

• join_func (str) –

• global_key (Optional[str]) –

• classes (Optional[List[str]]) –

• num_classes (Optional[int]) –

Methods

__init__(x, from_key, to_key, *[, default, …])	Initialize transform that converts encodes networkx into a boolean represented as np.ndarray of size 1.
generate(datalist)	param datalist
transform(g)	param g

__init__(x, from_key, to_key, *, default=Ellipsis, join_func='hstack', global_key=None, classes=None, num_classes=None)

Initialize transform that converts encodes networkx into a boolean represented as np.ndarray of size 1.

E.g. True gets encoded as np.ndarray([1.])

Parameters

• x (str) – ‘edge’, ‘node’, ‘global’

• from_key (str) – dictionary key to find feature

• to_key (str) – new key to attach feature

• default (Any) –

• join_func (str) –

• global_key (Optional[str]) –

• classes (Optional[List[str]]) –

• num_classes (Optional[int]) –