filter_regularizer: Sparse group lasso penalty applied to convolutional filters.
In mPloenzke/learnMotifs: Learn Nucleotide Motifs via Convolutions
Description
Usage
Arguments
Value
Author(s)
See Also
Description
L1 regularization penalty to constrain individual filter weights plus the L1/L2 regularization to collectively regularize the entire convolutional filter as a group.
Usage
1
filter_regularizer(weight_matrix)
Arguments
weight_matrix
Filter weights.
Value
Sparse group lasso penalty.
Author(s)
Matthew Ploenzke, ploenzke@g.harvard.edu
See Also
position_regularizer total_regularizer
mPloenzke/learnMotifs documentation built on May 27, 2019, 11:55 a.m.
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.
Description Usage Arguments Value Author(s) See Also
Description
L1 regularization penalty to constrain individual filter weights plus the L1/L2 regularization to collectively regularize the entire convolutional filter as a group.
Usage
1 | filter_regularizer(weight_matrix)
|
Arguments
weight_matrix |
Filter weights. |
Value
Sparse group lasso penalty.
Author(s)
Matthew Ploenzke, ploenzke@g.harvard.edu
See Also
position_regularizer total_regularizer
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.