logit.loss: A Logistic Loss function, used for binary classification...
In Greg-Hallenbeck/easy.mlp: Easy-To-Use Multilayer Perceptron
View source: R/activations-losses.R
View source: R/.ipynb_checkpoints/activations-losses-checkpoint.R
logit.loss R Documentation
A Logistic Loss function, used for binary classification networks.
Description
A Logistic Loss function, used for binary classification networks.
Usage
logit.loss(A, Y)
Arguments
A
a vector of predicted Y values.
Y
the true Y values.
Value
The floating-point loss for the network.
Greg-Hallenbeck/easy.mlp documentation built on March 10, 2023, 6:31 a.m.
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View source: R/activations-losses.R View source: R/.ipynb_checkpoints/activations-losses-checkpoint.R
| logit.loss | R Documentation |
A Logistic Loss function, used for binary classification networks.
Description
A Logistic Loss function, used for binary classification networks.
Usage
logit.loss(A, Y)
Arguments
A |
a vector of predicted Y values. |
Y |
the true Y values. |
Value
The floating-point loss for the network.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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