pyrobot.brain.ravq.ARAVQ

Package pyrobot :: Package brain :: Module ravq :: Class ARAVQ

Class ARAVQ

RAVQ --+
       |
      ARAVQ

Extends RAVQ as described in Linaker and Niklasson.

Method Summary
	`__init__(self, bufferSize, epsilon, delta, historySize, learningRate)`
	`__str__(self)` To display ravq just call print <instance>.
	`learn(self)` Only updates the model vector, not the winner.
	`process(self)` Here we add the new learning methods.
	`setLearning(self, value)`
	`updateDeltaWinner(self)`
Inherited from RAVQ
	`bufferString(self)`
	`distanceMap(self)` Calculate distance map.
	`distanceMapAsString(self)`
	`getNewWinner(self)` Returns boolean depending on whether or not there is a new winner after the last call to input.
	`getWinnerCount(self)` Returns the number of times the current winner has been the winner, ie.
	`input(self, vec)` Drives the ravq.
	`loadRAVQFromFile(self, filename)`
	`modelString(self)`
	`saveRAVQToFile(self, filename)`
	`setAddModels(self, value)` Allows the RAVQ to dynamically add model vectors.
	`setMask(self, mask)` The mask serves to weight certain components of the inputs in the distance calculations.
	`setModelVectorsDistance(self)` How close are the model vectors to the current inputs?...
	`setMovingAverage(self)` Determine moving average.
	`setMovingAverageDistance(self)` How close is the moving average to the current inputs?...
	`setVerbosity(self, value)` Determines which print statements to call.
	`updateModelVectors(self)` Update models vectors with moving average if the moving average is the best model of the inputs.
	`updateWinner(self)` Calculate the current winner based on which model vector is closest to the moving average.

Method Details

To display ravq just call print <instance>.

Only updates the model vector, not the winner. Winner will change
next time step anyway.

Here we add the new learning methods.

Generated by Epydoc 2.1 on Mon Jul 25 01:39:26 2005