crossover

[<code>logical</code>]
First parent string.

[<code>logical</code>]
Second parent string.

[<code>numeric(1)</code>]
A number representing the probability of selecting an element of the first string.
Default is <code>0.5</code>.

rate

Takes two bit strings and creates a new one of the same size by selecting the items from the first string or
the second, based on a given rate (the probability of choosing an element from the first string).

Interface to a large number of classification and regression
techniques, including machine-readable parameter descriptions. There is
also an experimental extension for survival analysis, clustering and
general, example-specific cost-sensitive learning. Generic resampling,
including cross-validation, bootstrapping and subsampling. Hyperparameter
tuning with modern optimization techniques, for single- and multi-objective
problems. Filter and wrapper methods for feature selection. Extension of
basic learners with additional operations common in machine learning, also
allowing for easy nested resampling. Most operations can be parallelized.

crossover: Crossover.

Description

Arguments

Value