nsl.configs.GraphNeighborConfig

Specifies neighbor attributes for graph regularization.

nsl.configs.GraphNeighborConfig(
    prefix=attr_dict['prefix'].default,
    weight_suffix=attr_dict['weight_suffix'].default,
    max_neighbors=attr_dict['max_neighbors'].default
)

prefix The prefix in feature names that identifies neighbor-specific features. Defaults to 'NLnbr'.
weight_suffix The suffix in feature names that identifies the neighbor weight value. Defaults to '_weight'. Note that neighbor weight features will have prefix as a prefix and weight_suffix as a suffix. For example, based on the default values of prefix and weight_suffix, a valid neighbor weight feature is 'NL_nbr_0_weight', where 0 corresponds to the first neighbor of the sample.
max_neighbors The maximum number of neighbors to be used for graph regularization. Defaults to 0, which disables graph regularization. Note that this value has to be less than or equal to the actual number of neighbors in each sample.

Methods

__eq__

__eq__(
    other
)

Method generated by attrs for class GraphNeighborConfig.

__ge__

__ge__(
    other
)

Method generated by attrs for class GraphNeighborConfig.

__gt__

__gt__(
    other
)

Method generated by attrs for class GraphNeighborConfig.

__le__

__le__(
    other
)

Method generated by attrs for class GraphNeighborConfig.

__lt__

__lt__(
    other
)

Method generated by attrs for class GraphNeighborConfig.

__ne__

__ne__(
    other
)

Method generated by attrs for class GraphNeighborConfig.