A representation of a mathematical relationship, a node in a program. This object is able to be called with NumPy vectorized arguments and return

A metric to measure the fitness of a program. This object is able to be called with NumPy vectorized arguments and return a resulting floatin

A program-like representation of the evolved program. This is the underlying data-structure used by the public classes in the :mod:`gplearn.g

Base class for symbolic regression / classification estimators. Warning: This class should not be used directly. Use derived classes instead.

A Genetic Programming symbolic classifier. A symbolic classifier is an estimator that begins by building a population of naive random formula

A Genetic Programming symbolic regressor. A symbolic regressor is an estimator that begins by building a population of naive random formulas

A Genetic Programming symbolic transformer. A symbolic transformer is a supervised transformer that begins by building a population of naive