noisy_loss_wrapper: Loss function for label noise
In GenomeNet/deepG: Deep Learning for Genome Sequence Data
noisy_loss_wrapper R Documentation
Loss function for label noise
Description
Implements approach from this paper and code from
here.
Can be used if labeled data contains noise, i.e. some of the data is labeled wrong.
Usage
noisy_loss_wrapper(noise_matrix)
Arguments
noise_matrix
Matrix of noise distribution.
Value
A function implementing noisy loss.
Examples
# If first label contains 5% wrong labels and second label no noise
noise_matrix <- matrix(c(0.95, 0.05, 0, 1), nrow = 2, byrow = TRUE)
noisy_loss <- noisy_loss_wrapper(noise_matrix)
GenomeNet/deepG documentation built on Dec. 24, 2024, 12:11 p.m.
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| noisy_loss_wrapper | R Documentation |
Loss function for label noise
Description
Implements approach from this paper and code from here. Can be used if labeled data contains noise, i.e. some of the data is labeled wrong.
Usage
noisy_loss_wrapper(noise_matrix)
Arguments
noise_matrix |
Matrix of noise distribution. |
Value
A function implementing noisy loss.
Examples
# If first label contains 5% wrong labels and second label no noise
noise_matrix <- matrix(c(0.95, 0.05, 0, 1), nrow = 2, byrow = TRUE)
noisy_loss <- noisy_loss_wrapper(noise_matrix)
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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