nnAlgorithm: NN algorithm function
In Kanjali/stencilRfunctions: Packages require to run master script
Description
Usage
Arguments
Value
View source: R/mlPipelineAndAlgorithmFunctions.R
Description
NN algorithm function
Usage
1
2
nnAlgorithm(Training_set, Prediction_set, hidden_layers, step_max,
pipeline_output)
Arguments
Training_set
is a data frame to train the network
Prediction_set
is also a data frame to test the NN
hidden_layers
is a vector to specify the number of nurons in the hidden layers
step_max
maximum steps for training the neural network
pipeline_output
is used to denormalize the data
Value
ref a dataframe with actual and predicted values for the sales
Kanjali/stencilRfunctions documentation built on May 29, 2019, 2:08 p.m.
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Description Usage Arguments Value
View source: R/mlPipelineAndAlgorithmFunctions.R
Description
NN algorithm function
Usage
1 2 | nnAlgorithm(Training_set, Prediction_set, hidden_layers, step_max,
pipeline_output)
|
Arguments
Training_set |
is a data frame to train the network |
Prediction_set |
is also a data frame to test the NN |
hidden_layers |
is a vector to specify the number of nurons in the hidden layers |
step_max |
maximum steps for training the neural network |
pipeline_output |
is used to denormalize the data |
Value
ref a dataframe with actual and predicted values for the sales
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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