Regularizers¶
Regularization in PyKEEN.
Functions¶
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Get the regularizer class. |
Classes¶
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A simple L_p norm based regularizer. |
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A regularizer which does not perform any regularization. |
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A convex combination of regularizers. |
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A simple x^p based regularizer. |
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A regularizer for the soft constraints in TransH. |
Class Inheritance Diagram¶
Base Classes¶
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class
Regularizer
(device, weight=1.0, apply_only_once=False)[source]¶ A base class for all regularizers.
Initializes internal Module state, shared by both nn.Module and ScriptModule.
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apply_only_once
: bool¶ Should the regularization only be applied once? This was used for ConvKB and defaults to False.
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abstract
forward
(x)[source]¶ Compute the regularization term for one tensor.
- Return type
FloatTensor
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classmethod
get_normalized_name
()[source]¶ Get the normalized name of the regularizer class.
- Return type
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hpo_default
: ClassVar[Mapping[str, Any]]¶ The default strategy for optimizing the regularizer’s hyper-parameters
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regularization_term
: torch.FloatTensor¶ The current regularization term (a scalar)
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property
term
¶ Return the weighted regularization term.
- Return type
FloatTensor
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weight
: torch.FloatTensor¶ The overall regularization weight
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