learning.Result-class: The Result of the Application of a Machine Learning or...
In thomasWeise/learnerSelectoR: An R Package for Automatically Selecting and Applying a (Machine) Learning Method
Description
This class is a base class for capturing the result of the
application of a Machine Learning or optimization method. Actually, this
base class only stores a quality measure value, which must be a finite
positive real number or zero and a measure of the "size" of the solution,
e.g., the number of parameters that have been determined, which must be a
positive integer number or zero. Sub-classes can then add more information,
such as the data of the actual solution.
Slots
qualitythe quality of the result, smaller values are better
sizethe size of the result, e.g., the number of fixed parameters
thomasWeise/learnerSelectoR documentation built on May 16, 2019, 7:47 a.m.
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Description
This class is a base class for capturing the result of the application of a Machine Learning or optimization method. Actually, this base class only stores a quality measure value, which must be a finite positive real number or zero and a measure of the "size" of the solution, e.g., the number of parameters that have been determined, which must be a positive integer number or zero. Sub-classes can then add more information, such as the data of the actual solution.
Slots
qualitythe quality of the result, smaller values are better
sizethe size of the result, e.g., the number of fixed parameters
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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