as_tensor_3D: Transform data into a 3D tensor.
In stschn/deepANN: Neural Network Toolbox
as_tensor_3d R Documentation
Transform data into a 3D tensor.
Description
Transform data into a 3D tensor.
Usage
as_tensor_3d(data, timesteps = 1L)
Arguments
data
The data to be reshaped to a three-dimensional tensor, usually a matrix or data frame.
timesteps
The number of timesteps.
Value
A three-dimensional array.
See Also
Other Single & Multi Layer Perceptron (SLP, MLP):
as_MLP_X(),
as_MLP_Y(),
as_tensor_1d(),
as_tensor_2d(),
build_MLP(),
fit_MLP(),
load_weights_ANN(),
nsamples(),
nsubsequences(),
ntimesteps(),
nunits(),
predict_ANN(),
save_weights_ANN()
stschn/deepANN documentation built on June 25, 2024, 7:27 a.m.
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| as_tensor_3d | R Documentation |
Transform data into a 3D tensor.
Description
Transform data into a 3D tensor.
Usage
as_tensor_3d(data, timesteps = 1L)
Arguments
data |
The data to be reshaped to a three-dimensional tensor, usually a matrix or data frame. |
timesteps |
The number of timesteps. |
Value
A three-dimensional array.
See Also
Other Single & Multi Layer Perceptron (SLP, MLP):
as_MLP_X(),
as_MLP_Y(),
as_tensor_1d(),
as_tensor_2d(),
build_MLP(),
fit_MLP(),
load_weights_ANN(),
nsamples(),
nsubsequences(),
ntimesteps(),
nunits(),
predict_ANN(),
save_weights_ANN()
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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