random_distributions.ResponseCurve Class Reference

This class is described in AI Programming Wisdom 1, "The Beauty of Response Curves", by Bob Alexander. More...

List of all members.

Public Member Functions

def __init__

Constructs a new TransferFunction.

def __call__

def getInputMin

def getInputMax

Public Attributes

inputMin

inputMax

count

period

outputSamples

Detailed Description

This class is described in AI Programming Wisdom 1, "The Beauty of Response Curves", by Bob Alexander.

Essentailly, this class provides a look-up table with linear interpolation for arbitrary functions.

Parameters:

	n	Number of output samples.
	T	The number type of the input and output, usually float or double.

Definition at line 145 of file random_distributions.py.

def random_distributions.ResponseCurve.__call__	(	self,
		input
	)

Definition at line 179 of file random_distributions.py.

def random_distributions.ResponseCurve.__init__	(	self,
		inputMin,
		inputMax,
		outputSamples
	)

Constructs a new TransferFunction.

Parameters:

	inputMin	The minimum value an input can be.
	inputMax	The maximum value an input can be.
	outputSamples	Samples of outputs.

Definition at line 156 of file random_distributions.py.

def random_distributions.ResponseCurve.getInputMax ( self )

Definition at line 195 of file random_distributions.py.

def random_distributions.ResponseCurve.getInputMin ( self )

Definition at line 192 of file random_distributions.py.

Definition at line 159 of file random_distributions.py.

Definition at line 158 of file random_distributions.py.

Definition at line 157 of file random_distributions.py.

Definition at line 162 of file random_distributions.py.

Definition at line 160 of file random_distributions.py.

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


Public Member Functions
def	__init__
	Constructs a new TransferFunction.
def	__call__
def	getInputMin
def	getInputMax
Public Attributes
	inputMin
	inputMax
	count
	period
	outputSamples