Description Usage Arguments Value
Takes a new instance feature vector, a local expert model list object, a stacking regression model, and the y-values associated with the binary columns matrix to generate a prediction and plot.
1 2 |
x |
Attribute vector of new instance to be predicted |
model.list |
Model list object from TrainLEs function |
stack.model |
Regression model trained on LE output |
y.vals |
Y-values from BinCols function |
plot |
Display plot of LE predictions and stack estimate |
verbose |
Determines whether prediction information is printed |
df |
Degrees of freedom to pass spline if plotting |
cred |
Credibility interval for HDI in plot |
... |
Additional arguments to pass to the FitInstance function |
Returns a list containing the stack prediction y-value, local expert predictions, and associated y-values.
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