gigl.src.common.translators.SupervisedNodeClassificationSample#

class gigl.src.common.translators.training_samples_protos_translator.SupervisedNodeClassificationSample(x, root_node, y)#

Bases: NamedTuple

Methods

__init__

count

Return number of occurrences of value.

index

Return first index of value.

__add__(value, /)#

Return self+value.

__class_getitem__()#

See PEP 585

__contains__(key, /)#

Return key in self.

__eq__(value, /)#

Return self==value.

__ge__(value, /)#

Return self>=value.

__getattribute__(name, /)#

Return getattr(self, name).

__getitem__(key, /)#

Return self[key].

__getnewargs__()#

Return self as a plain tuple. Used by copy and pickle.

__gt__(value, /)#

Return self>value.

__hash__()#

Return hash(self).

__iter__()#

Implement iter(self).

__le__(value, /)#

Return self<=value.

__len__()#

Return len(self).

__lt__(value, /)#

Return self<value.

__mul__(value, /)#

Return self*value.

__ne__(value, /)#

Return self!=value.

static __new__(_cls, x: GbmlGraphDataProtocol, root_node: Node, y: List[Label])#

Create new instance of SupervisedNodeClassificationSample(x, root_node, y)

__repr__()#

Return a nicely formatted representation string

__rmul__(value, /)#

Return value*self.

count(value, /)#

Return number of occurrences of value.

index(value, start=0, stop=9223372036854775807, /)#

Return first index of value.

Raises ValueError if the value is not present.

root_node: Node#

Alias for field number 1

x: GbmlGraphDataProtocol#

Alias for field number 0

y: List[Label]#

Alias for field number 2