pyrobot.brain.governor.Governor

Package pyrobot :: Package brain :: Module governor :: Class Governor

Class Governor

An RAVQ vitual baseclass for combination with Network.

Method Summary
	`__nextitem__(self)` For use in iterable positions: >>> govnet = GovernorNetwork() >>> for item in govnet: ...
	`distancesTo(self, vector)` Computes euclidean distance from a vector to all model vectors.
	`incompatibility(self)` For each model, how different is it from each of the buffer items? Returns list of incompatibilities.
	`input(self, vector)` Wrapper around ravq.input() which returns index and mapped-to m.v.
	`loadRAVQ(self, filename)` Loads RAVQ data from a file.
	`map(self, vector)` Returns the index and vector of winning position.
	`nextItem(self)` Public interface for getting next item from RAVQ.
	`saveRAVQ(self, filename)` Saves RAVQ data to a file.
	`setBalancedMask(self)` Give each layer an equal weighting, so that all weights sum to one.
	`setMask(self, **args)` Takes a dictionary of layer names and mask weights.
	`winner(self)` Get's winning name, m.v.

Method Details

For use in iterable positions:
>>> govnet = GovernorNetwork()
>>> for item in govnet:
...    print item
...

Computes euclidean distance from a vector to all model vectors. Note: uses mask
to scale.

For each model, how different is it from each of the buffer items? Returns list of
incompatibilities. Note: uses mask to scale.

Wrapper around ravq.input() which returns index and mapped-to m.v. Here, we convert
index to "name".

Loads RAVQ data from a file.

Returns the index and vector of winning position. Side effect: records
index of winning pos in histogram and decayHistogram.

Public interface for getting next item from RAVQ.

Saves RAVQ data to a file.

Give each layer an equal weighting, so that all weights sum to one.

Takes a dictionary of layer names and mask weights.

Get's winning name, m.v. of last winner.

Generated by Epydoc 2.1 on Mon Jul 25 01:39:28 2005