model_projection: Calculates trained model for new Data
In PaoloLuciano/BPWPM: Bayesian Piecewise Polinomial Model
Description
Usage
Arguments
Value
Examples
Description
Given a set of parameters inherited by the bpwpm_gibbs training
procedure, we calculate the value of the projection function for new data.
This function is both used on the predict and plot_3D functions.
Usage
1
model_projection(new_X, bpwpm_params)
Arguments
new_X
A new set of data for which to calculate the f(x) projection
function
bpwpm_params
A list of bpwpm parameters created by the function
posterior_params
Value
A vector of the projection vector for a given set of points
Examples
1
(test_data, mean_params)
PaoloLuciano/BPWPM documentation built on May 21, 2019, 1:20 p.m.
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Description Usage Arguments Value Examples
Description
Given a set of parameters inherited by the bpwpm_gibbs training
procedure, we calculate the value of the projection function for new data.
This function is both used on the predict and plot_3D functions.
Usage
1 | model_projection(new_X, bpwpm_params)
|
Arguments
new_X |
A new set of data for which to calculate the f(x) projection function |
bpwpm_params |
A list of bpwpm parameters created by the function
|
Value
A vector of the projection vector for a given set of points
Examples
1 | (test_data, mean_params)
|
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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