def initialise(self):
'''create initial pool of trees'''
rateTrees = .3
statementsPerTree = self.maxAvgAttrsPerTree
if self.writeLog:
self.logWriter.writeLine('starting initialisation')
self.logWriter.timeMarker('init',False)
samplesPerTree = int(round(self.maxSamplesCount/(rateTrees*self.maxNodesCount)+0.49))
nodesPerTree = int(1/rateTrees)
countTrees = int(self.maxNodesCount*rateTrees)
self.maxAttrsCount= countTrees
#ALARMA!! may need some details for samples/statements pools once they're implemented
i=0
#while i< countTrees:
for i in range(countTrees):
newCh = self.generateChromo(nodesPerTree,samplesPerTree,statementsPerTree,1)
if newCh:
newCh.fitness = helpers.getSuccessProbability(newCh,self.samplesPool.keys())
self.addChromo(newCh)
for sample in self.samplesPool.keys():
if len(self.samplesPool[sample])==0:
del self.samplesPool[sample]
if self.writeLog:
self.logWriter.timeMarker('init')
self.logWriter.writeLine('init phase end.', len(self.treesPool),'trees created with',
nodesPerTree,'nodes and',samplesPerTree,'samples each')
def initialise(self):
'''create initial pool of trees'''
rateTrees = .3
baseFitnessForIdealTree = 1
if self.writeLog:
self.logWriter.writeLine('starting initialisation')
self.logWriter.timeMarker('init',False)
samplesPerTree = int(round(self.maxSamplesCount/(rateTrees*self.maxNodesCount)+0.49))
nodesPerTree = int(1/rateTrees)
countTrees = int(self.maxNodesCount*rateTrees)
self.maxAttrsCount= countTrees
#ALARMA!! may need some details for samples/statements pools once they're implemented
for i in range(countTrees):
newCh = chromo(self,
set(helpers.proportionalrandom(self.samplesPool.keys(),lambda x:1,min(samplesPerTree,len(self.samplesPool)))) ,
self.boolStatements,
self.numStatements,
1)
for i in range(nodesPerTree):
if not newCh.expandBestNode():
break
if newCh.numNodes ==0:
continue
newCh.fitness = helpers.getSuccessProbability(newCh,self.samplesPool.keys())*baseFitnessForIdealTree
self.currentNodesCount+= newCh.numNodes
self.currentSamplesCount+=len(newCh.samples)
self.currentAttrsCount += len(newCh.boolStatements)+len(newCh.numStatements)
self.treesPool.add(newCh)
for sample in newCh.samples:
self.samplesPool[sample].add(newCh)
for sample in self.samplesPool.keys():
if len(self.samplesPool[sample])==0:
del self.samplesPool[sample]
if self.writeLog:
self.logWriter.timeMarker('init')
self.logWriter.writeLine('init phase end.', len(self.treesPool),'trees created with',
nodesPerTree,'nodes and',samplesPerTree,'samples each')
def manageTrees(self):
''' update the pool'''
expandedPoolCapacityRate = 1.2
targetTreesCount = 0.3*self.maxNodesCount
minTreesCount = 10
if self.writeLog:
self.logWriter.writeLine( '\nManaging trees pool. Initial nodes count = ', self.currentNodesCount,'/',self.maxNodesCount, ', trees count = ',len(self.treesPool))
self.logWriter.timeMarker('manageTrees',False)
self.logWriter.timeMarker('negative fitness removal',False)
_t = 0
_r = 0
for chromo in copy.copy(self.treesPool):
if chromo.fitness <=0:
self.removeTree(chromo)
_t +=1
while len(self.treesPool) < minTreesCount:
newCh = self.generateChromo(self.currentNodesCount/len(self.treesPool),len(self.treesPool),self.currentSamplesCount/len(self.treesPool),self.currentAttrsCount/len(self.treesPool))
if newCh:
newCh.fitness = helpers.getSuccessProbability(newCh,self.samplesPool.keys())
self.addChromo(newCh)
_r+=1
if self.writeLog:
self.logWriter.timeMarker('negative fitness removal')
self.logWriter.writeLine(_t,'trees removed for negative fitness, ',_r,' replaced')
self.logWriter.writeLine('\nRecombination phase')
self.logWriter.timeMarker('recombination',False)
treeGrowthRate = 5
_s = 0
# add some new trees
mutationSequence = helpers.proportionalrandom(self.treesPool,lambda x:(x.fitness),2*treeGrowthRate)
if self.writeLog:
self.logWriter.writeLine('Recombination phase: sequence len =',len(mutationSequence))
random.shuffle(mutationSequence)
#ALARME!!actual mutation for trees may be implemented either here or separately. or not implemented due to it's simulated by all the alterations with samples and nodes.
while len(mutationSequence)>1:
newChromo = self.recombine(mutationSequence.pop(),mutationSequence.pop());
if newChromo:
self.addChromo(newChromo)
_s+=1
if self.writeLog:
self.logWriter.timeMarker('recombination')
self.logWriter.writeLine('End of recombination phase')
self.logWriter.writeLine('\nExpansion phase')
self.logWriter.timeMarker('expansion',False)
#expand nodes up to maximal nodescount times expandedPoolCapacityRate (actually less due to absense of repetitions),
# prioritised by tree fitness times expected benefit from expansion
#this NoRep is recalculating priorities every round.
expandees = helpers.proportionalrandomRounds(self.treesPool,lambda x:x.fitness*x.getBestReplacementPotential(),max(int((self.maxNodesCount*expandedPoolCapacityRate-self.currentNodesCount)), 0))#that one was set(random) just a sec ago
if self.writeLog:
self.logWriter.writeLine( 'Expansion phase: sequence len =',len(expandees))
for tree in expandees:
if tree.expandBestNode():
self.currentNodesCount+=1
if self.writeLog:
self.logWriter.timeMarker('expansion')
self.logWriter.writeLine('End of expansion phase')
self.logWriter.writeLine('\nPruning phase')
self.logWriter.timeMarker('pruning',False)
#remove up to all nodes above nodescount(actually less due to possibility that trees have less nodes than tis demanded to remove)
# of least effective nodes in terms of nodes per fitness, remove empty trees
if self.writeLog:
self.logWriter.writeLine('Pruning phase: initial nodes count =',self.currentNodesCount,'/',self.maxNodesCount)
_t = 0
while self.currentNodesCount > self.maxNodesCount:
reducees = helpers.proportionalrandom(self.treesPool,lambda x:x.numNodes/(x.fitness),max(self.currentNodesCount - self.maxNodesCount,0))
for tree in reducees:
if tree in self.treesPool:
if tree.pruneWorstNode():
self.currentNodesCount-=1 #if pruning fails, -1 node is done in
else:
_t+=1
self.removeTree(tree)
if self.writeLog:
self.logWriter.writeLine( _t,' trees removed in pruning phase')
self.logWriter.timeMarker('pruning')
self.logWriter.writeLine('End of pruning phase')
if self.writeLog:
self.logWriter.timeMarker('manageTrees')
self.logWriter.writeLine( 'OnAfterStep nodes count = ', self.currentNodesCount,', trees count = ',len(self.treesPool))
self.logWriter.writeLine( 'End of tree management.\n')
