AStrain: Training models for posterior selection of algorithms
In ASML: Algorithm Portfolio Selection with Machine Learning
AStrain R Documentation
Training models for posterior selection of algorithms
Description
For each algorithm (column) in the data, a model is trained to later predict the output (KPI) for that algorithm (using function ASpredict()).
Usage
AStrain(data_object, ...)
Arguments
data_object
an object.
...
other parameters.
Value
A list, result of the respective AStrain method.
ASML documentation built on April 3, 2025, 8:47 p.m.
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| AStrain | R Documentation |
Training models for posterior selection of algorithms
Description
For each algorithm (column) in the data, a model is trained to later predict the output (KPI) for that algorithm (using function ASpredict()).
Usage
AStrain(data_object, ...)
Arguments
data_object |
an object. |
... |
other parameters. |
Value
A list, result of the respective AStrain method.
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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