BLNN_Predict: Calculate predicted values and errors for a BLNN object
In BLNNdevs/BLNN: Bayesian Learning for Artificial Neural Networks
Description
Usage
Arguments
Value
Description
Allows the user to calculate predicted values from input data with the
option of providing network and fitted errors if known y values are supplied.
Usage
1
BLNN_Predict(Network, x, y = NULL, fit = NULL)
Arguments
Network
A BLNN network object
x
A set of input data
y
A set of target response values. Default is NULL
Value
A vector or matrix of predicted responses. If y is given, returns a list containing
- Errors
Calculated network error
- Difference
A vector of differences y-predicted
- Fitted_Values
A vector or matrix of predicted responses
BLNNdevs/BLNN documentation built on Dec. 10, 2019, 3:31 a.m.
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Description Usage Arguments Value
Description
Allows the user to calculate predicted values from input data with the option of providing network and fitted errors if known y values are supplied.
Usage
1 | BLNN_Predict(Network, x, y = NULL, fit = NULL)
|
Arguments
Network |
A BLNN network object |
x |
A set of input data |
y |
A set of target response values. Default is |
Value
A vector or matrix of predicted responses. If y is given, returns a list containing
- Errors
Calculated network error
- Difference
A vector of differences y-predicted
- Fitted_Values
A vector or matrix of predicted responses
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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