position_regularizer: Position-wise 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 with decaying strength nearing the center of tte filter.
Usage
1
position_regularizer(weight_matrix)
Arguments
weight_matrix
Filter weights.
Value
Lasso penalty.
Author(s)
Matthew Ploenzke, ploenzke@g.harvard.edu
See Also
filter_regularizer total_regularizer
mPloenzke/learnMotifs documentation built on May 27, 2019, 11:55 a.m.
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Description Usage Arguments Value Author(s) See Also
Description
L1 regularization penalty to constrain individual filter weights with decaying strength nearing the center of tte filter.
Usage
1 | position_regularizer(weight_matrix)
|
Arguments
weight_matrix |
Filter weights. |
Value
Lasso penalty.
Author(s)
Matthew Ploenzke, ploenzke@g.harvard.edu
See Also
filter_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.
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