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Quick start
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API
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- Resume
- Accuracy
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regularizer
regularizer : enum, adds a penalty to the weights to limit their growth and improve the model’s generalization.
Default
In default mode, you can choose between no regularization (default setting) or apply a predefined scheme: L1, L2, or L1L2.
In this configuration, the regularization coefficients l1
and l2
are fixed to 0.01 and cannot be modified.
This mode offers a simple way to introduce regularization without manually adjusting parameters.
L1
L1 regularization adds a penalty proportional to the absolute values of the weights:
This promotes sparsity by encouraging weights to become exactly zero.
When selected explicitly, the l1
coefficient can be set freely.
L2
L2 regularization adds a penalty proportional to the squared values of the weights:
This helps prevent overfitting by discouraging large weights and smoothing the model.
The l2
coefficient is user-configurable when this mode is selected.
L1L2
L1L2 combines both L1 and L2 penalties:
It balances sparsity (from L1) and weight decay (from L2), offering finer control over the regularization behavior.
Both l1
and l2
coefficients are available for customization in this mode.