tanhloss {NeuralEstimators} | R Documentation |
tanhloss
Description
For k
> 0, defines Julia code that defines the loss function,
L(\hat{\theta}, \theta) = \tanh\left(\frac{|\hat{\theta} - \theta|}{k}\right),
which approximates the 0-1 loss as k
tends to zero.
The resulting string is intended to be used in the function train
, but can also be converted to a callable function using juliaEval
.
Usage
tanhloss(k)
Arguments
k |
Positive numeric value that controls the smoothness of the approximation. |
Value
String defining the tanh loss function in Julia code.
[Package NeuralEstimators version 0.2.0 Index]