Logger Description Arguments
LoggerIteration The basic logger to log the current iteration. This one is defined automatically by calling train().
use_as_stopper
Boolean to indicate whether this logger should also used as stopping criteria
max_iterations
Integer value specifying the maximal numbers of iterations
LoggerInbagRisk Risk logging on the given train dataset.
use_as_stopper
Boolean to indicate whether this logger should used as stopping criteria
used_loss
Loss object that defined the empirical risk
eps_for_break
Numeric value indicating the relative improvement which is used to stop the algorithm
LoggerOobRisk Risk logging on a given out of bag dataset.
use_as_stopper
Boolean to indicate whether this logger should used as stopping criteria
used_loss
Loss object that defined the empirical risk
eps_for_break
Numeric value indicating the relative improvement which is used to stop the algorithm
oob_data
List of Data objects with the out of bag data. Note that a data.frame can be easily transformed by using $prepareData()
oob_response
Response object with the out of bag response
LoggerTime Time logging after each iteration.
use_as_stopper
Boolean to indicate whether this logger should used as stopping criteria
max_time
Integer value specifying the the maximal number of time units
time_unit
Character value indicating the time unit (possible choices are minutes, seconds, or microseconds)