base#

class gym_socks.algorithms.base.ClassifierMixin[source]#

Base class for algorithms.

This class is ABSTRACT, meaning it is not meant to be instantiated directly. Instead, define a new class that inherits from ClassifierMixin.

The ClassifierMixin is meant to mimic the sklearn estimator base class in order to promote a standard interface among machine learning algorithms. It requires that all subclasses implement a fit, predict, and score method.

abstract fit()[source]#
abstract predict()[source]#
abstract score()[source]#
class gym_socks.algorithms.base.ClusterMixin[source]#

Base class for algorithms.

This class is ABSTRACT, meaning it is not meant to be instantiated directly. Instead, define a new class that inherits from ClusterMixin.

The ClusterMixin is meant to mimic the sklearn estimator base class in order to promote a standard interface among machine learning algorithms. It requires that all subclasses implement a fit and fit_predict method.

abstract fit()[source]#
abstract fit_predict()[source]#
class gym_socks.algorithms.base.RegressorMixin[source]#

Base class for algorithms.

This class is ABSTRACT, meaning it is not meant to be instantiated directly. Instead, define a new class that inherits from RegressorMixin.

The RegressorMixin is meant to mimic the sklearn estimator base class in order to promote a standard interface among machine learning algorithms. It requires that all subclasses implement a fit, predict, and score method.

abstract fit()[source]#
abstract predict()[source]#
abstract score()[source]#