gnes.score_fn.normalize module¶
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class
gnes.score_fn.normalize.
Normalizer1
[source]¶ Bases:
gnes.score_fn.base.ModifierScoreFn
Do normalizing: score = 1 / (1 + sqrt(score))
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train
(*args, **kwargs)¶ Train the model, need to be overrided
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class
gnes.score_fn.normalize.
Normalizer2
(num_dim)[source]¶ Bases:
gnes.score_fn.base.ModifierScoreFn
Do normalizing: score = 1 / (1 + score / num_dim)
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train
(*args, **kwargs)¶ Train the model, need to be overrided
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class
gnes.score_fn.normalize.
Normalizer3
(num_dim)[source]¶ Bases:
gnes.score_fn.normalize.Normalizer2
Do normalizing: score = 1 / (1 + sqrt(score) / num_dim)
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train
(*args, **kwargs)¶ Train the model, need to be overrided
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class
gnes.score_fn.normalize.
Normalizer4
(num_bytes)[source]¶ Bases:
gnes.score_fn.base.ModifierScoreFn
Do normalizing: score = 1 - score / num_bytes
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train
(*args, **kwargs)¶ Train the model, need to be overrided
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class
gnes.score_fn.normalize.
Normalizer5
[source]¶ Bases:
gnes.score_fn.base.ModifierScoreFn
Do normalizing: score = 1 / (1 + sqrt(abs(score)))
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train
(*args, **kwargs)¶ Train the model, need to be overrided
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