Module: tfl.linear_layer
    
    
      
    
    
      
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Layer which represents linear function. See class level comment.
This layer applies a linear transformation to the input tensor with an optional
bias term. It supports monotonicity, monotonic dominance and fixed-norm
constraints.
Classes
class LinearConstraints: Applies monotonicity constraints and normalization to TFL Linear layer.
| Other Members | 
|---|
| LINEAR_LAYER_BIAS_NAME | 'linear_layer_bias' | 
| LINEAR_LAYER_KERNEL_NAME | 'linear_layer_kernel' | 
| absolute_import | Instance of __future__._Feature | 
| division | Instance of __future__._Feature | 
| print_function | Instance of __future__._Feature | 
  
  
 
  
    
    
      
       
    
    
  
  
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  Last updated 2024-08-02 UTC.
  
  
  
    
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