Provides functionality for accomplishment of learning with cross-validation by generating a set of training data/validation data pairs randomly This class corresponds to the old doFold() method. More...

Inheritance diagram for python.learner.folding.RandomFoldingPolicy.RandomFoldingPolicy:

Public Member Functions
def	__init__ (self, dataContainer, level=1, seed=None)
	Constructor. More...

Public Attributes
	random
	Random number generator. More...

	seed

	seq

	window

Detailed Description

Provides functionality for accomplishment of learning with cross-validation by generating a set of training data/validation data pairs randomly This class corresponds to the old doFold() method.

Constructor & Destructor Documentation

◆ init()

def python.learner.folding.RandomFoldingPolicy.RandomFoldingPolicy.__init__	(	self,
		dataContainer,
		level = `1`,
		seed = `None`
	)

Constructor.

Parameters

dataContainer	DataContainer with data set
level	Integer folding level, default value: 1
seed	Integer seed, default None so it is set to the timestamp

Member Data Documentation

◆ random

python.learner.folding.RandomFoldingPolicy.RandomFoldingPolicy.random

Random number generator.

◆ seed

python.learner.folding.RandomFoldingPolicy.RandomFoldingPolicy.seed

Referenced by python.uq.learner.builder.RegressorSpecificationDescriptor.FoldingDescriptor.withSeed().

◆ seq

python.learner.folding.RandomFoldingPolicy.RandomFoldingPolicy.seq

◆ window

python.learner.folding.RandomFoldingPolicy.RandomFoldingPolicy.window

The documentation for this class was generated from the following file:

datadriven/python/learner/folding/RandomFoldingPolicy.py

Public Member Functions

Public Attributes