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zincbase package

The main Zincbase package.

See README.md for some simple docs.

zincbase.zincbase module

.. automodule:: zincbase.zincbase
    :members:
    :undoc-members:
    :show-inheritance:

Negative Examples

Negative examples can be added to a Zincbase in two ways. Either:

  • Prefix a rule with ~, such as ~likes(tom, sprouts)
  • Give it a truthiness attribute that's less than zero.

Concretely, this looks like:

kb.store('~likes(tom, sprouts)')
kb.store('likes(tom, sprouts)', edge_attributes={'truthiness': -1})

Negative examples are fed in to the KG model as part of the usual training regime; you may control the frequency that this happens with the neg_ratio kwarg of KB.train_kg_model.

Note that you can specify truthiness as something you want the model to learn to predict (i.e. specify pred_attributes=['truthiness'] when you call build_kg_model). But, negative truthiness takes the example out of the normal flow of this: only examples with 0 <= truthiness <= 1 are part of 'proper' training where the predicate prediction is taken into account.

Anecdotally, negative examples do not help much, or only help with small datasets.