BlearnerFactoryList: Base-learner factory list to define the set of base-learners
In compboost: C++ Implementation of Component-Wise Boosting

Description Format Usage Details Fields Methods Examples

BlearnerFactoryList creates an object in which base-learner factories can be registered. This object can then be passed to compboost as set of base-learner which is used by the optimizer to get the new best base-learner.

S4 object.

1	BlearnerFactoryList$new()

This class is a wrapper around the pure C++ implementation. To see the functionality of the C++ class visit https://schalkdaniel.github.io/compboost/cpp_man/html/classblearnerlist_1_1_baselearner_factory_list.html.

This class doesn't contain public fields.

registerFactory(BaselearnerFactory): Takes a object of the class BaseLearnerFactory and adds this factory to the set of base-learner.
printRegisteredFactories(): Get all registered factories.
clearRegisteredFactories(): Remove all registered factories. Note that the factories are not deleted, just removed from the map.
getModelFrame(): Get each target data matrix parsed to one big matrix.
getNumberOfRegisteredFactories(): Get the number of registered factories.

# Sample data:
data.mat = cbind(1:10)

# Create new data object:
data.source = InMemoryData$new(data.mat, "my.data.name")
data.target1 = InMemoryData$new()
data.target2 = InMemoryData$new()

lin.factory = BaselearnerPolynomial$new(data.source, data.target1, 1, TRUE)
poly.factory = BaselearnerPolynomial$new(data.source, data.target2, 2, TRUE)

# Create new base-learner list:
my.bl.list = BlearnerFactoryList$new()

# Register factories:
my.bl.list$registerFactory(lin.factory)
my.bl.list$registerFactory(poly.factory)

# Get registered factories:
my.bl.list$printRegisteredFactories()

# Get all target data matrices in one big matrix:
my.bl.list$getModelFrame()

# Clear list:
my.bl.list$clearRegisteredFactories()

# Get number of registered factories:
my.bl.list$getNumberOfRegisteredFactories()