one_hot_generator: One-hot encoding fit generator
In mPloenzke/learnMotifs: Learn Nucleotide Motifs via Convolutions
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Streaming generator to one-hot encode samples during training or predicting.
Usage
1
one_hot_generator(X_data, Y_data, batch_size, zeros_len, max_len)
Arguments
X_data
Character strings composed of nucleotides A, C, G, T.
Y_data
Vector of labels.
batch_size
Integer value denoting batch size.
zeros_len
Integer value denoting number of zeros to pad vector with. Commonly the convolutional filter length - 1.
max_len
Maximum sequence length. Calculated per batch if NULL.
Value
Zero-padded array of one-hot encodings.
Author(s)
Matthew Ploenzke, ploenzke@g.harvard.edu
See Also
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
Streaming generator to one-hot encode samples during training or predicting.
Usage
1 | one_hot_generator(X_data, Y_data, batch_size, zeros_len, max_len)
|
Arguments
X_data |
Character strings composed of nucleotides A, C, G, T. |
Y_data |
Vector of labels. |
batch_size |
Integer value denoting batch size. |
zeros_len |
Integer value denoting number of zeros to pad vector with. Commonly the convolutional filter length - 1. |
max_len |
Maximum sequence length. Calculated per batch if NULL. |
Value
Zero-padded array of one-hot encodings.
Author(s)
Matthew Ploenzke, ploenzke@g.harvard.edu
See Also
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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