make_generator: creates a generator for training
In deepregression: Fitting Deep Distributional Regression
Description
Usage
Arguments
Value
Description
creates a generator for training
Usage
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make_generator(
input_x,
input_y = NULL,
batch_size,
sizes,
shuffle = TRUE,
seed = 42L
)
Arguments
input_x
list of matrices
input_y
list of matrix
batch_size
integer
sizes
sizes of the image including colour channel
shuffle
logical for shuffling data
seed
seed for shuffling in generators
Value
generator for all x and y
deepregression documentation built on Oct. 5, 2021, 1:06 a.m.
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Description Usage Arguments Value
Description
creates a generator for training
Usage
1 2 3 4 5 6 7 8 | make_generator(
input_x,
input_y = NULL,
batch_size,
sizes,
shuffle = TRUE,
seed = 42L
)
|
Arguments
input_x |
list of matrices |
input_y |
list of matrix |
batch_size |
integer |
sizes |
sizes of the image including colour channel |
shuffle |
logical for shuffling data |
seed |
seed for shuffling in generators |
Value
generator for all x and y
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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