format_activations: Format filter activations for plotting.
In mPloenzke/learnMotifs: Learn Nucleotide Motifs via Convolutions
Description
Usage
Arguments
Value
Author(s)
Description
Format the first-layer filter activations for plotting with plot_filter_activations_byClass.
Usage
1
2
format_activations(model, data, y, input_layer = 1, output_layer,
buffer = 0, motif.names)
Arguments
model
A Keras model.
data
Data array returned from one_hot to obtain activations for.
y
Vector of class labels.
input_layer
Integer value denoting the input data. If NULL, assumes a single input layer.
output_layer
Integer denoting output layer or string containing the layer name.
buffer
Where to start extracting the beta coefficients from.
motif.names
Array containing names for the filters.
Value
Tibble of formatted activations.
Author(s)
Matthew Ploenzke, ploenzke@g.harvard.edu
mPloenzke/learnMotifs documentation built on May 27, 2019, 11:55 a.m.
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Description Usage Arguments Value Author(s)
Description
Format the first-layer filter activations for plotting with plot_filter_activations_byClass.
Usage
1 2 | format_activations(model, data, y, input_layer = 1, output_layer,
buffer = 0, motif.names)
|
Arguments
model |
A |
data |
Data array returned from |
y |
Vector of class labels. |
input_layer |
Integer value denoting the input data. If NULL, assumes a single input layer. |
output_layer |
Integer denoting output layer or string containing the layer name. |
buffer |
Where to start extracting the beta coefficients from. |
motif.names |
Array containing names for the filters. |
Value
Tibble of formatted activations.
Author(s)
Matthew Ploenzke, ploenzke@g.harvard.edu
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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