def __init__(self,keyParams,boolParams, numParams, samples, samplesCount, nodesCount,attrsAvgPerTree, majorant = False, logWriter = None):
'''the LICS itself'''
'''reverse keyparams pls!'''
self.boolParams = boolParams
self.numParams = numParams
self.keyParams = keyParams
self.keyStatements = [ statements.get_statement(statements.op_takeValue,p) for p in keyParams]
self.boolStatements = [ statements.get_statement(statements.op_takeValue,p) for p in boolParams]
self.numStatements = [ statements.get_statement(statements.op_takeValue,p) for p in numParams]
self.maxSamplesCount = samplesCount
self.maxNodesCount = nodesCount
self.maxAttrsCount = 0
self.maxAvgAttrsPerTree = attrsAvgPerTree
self.currentNodesCount = 0
self.currentSamplesCount = 0 #not unique samples, but sample inclusions.
self.currentAttrsCount = 0 #same
self.isMajorant = majorant
self.writeLog = False
self.writeDump = False
self.treesPool = set()#set chromo
self.samplesPool = {sample:set() for sample in samples}#dict sample:trees with this sample.
self.attrsPool = {attr:set() for attr in self.numStatements}
def getDifferences(numStatements):
import statements
numCombinations = []
for i in range(len(numStatements)):
for j in range(i,len(numStatements)):
numCombinations.append(statements.get_statement(statements.op_sum,
[statements[i],
statements.get_statement(statements.op_minus,[statements[j]])]))
return numCombinations
def __init__(self,keyParams,boolParams, numParams, samples, samplesCount, nodesCount, majorant = False):
'''the LICS itself'''
'''reverse keyparams pls!'''
self.boolParams = boolParams
self.numParams = numParams
self.keyParams = keyParams
self.keyStatements = [ statements.get_statement(statements.op_takeValue,p) for p in keyParams]
self.boolStatements = [ statements.get_statement(statements.op_takeValue,p) for p in boolParams]
self.numStatements = [ statements.get_statement(statements.op_takeValue,p) for p in numParams]
self.samples = set(samples)
self.samplesCount = samplesCount
self.nodesCount = nodesCount
self.tree = treeNode.treeNode(self.samples,self.keyStatements,majorant)
self.clusteriser = cluster.kmeans(self,numParams,boolParams + keyParams,samplesCount)
self.isMajorant = majorant
def getPairedSums(numStatements):
import statements
numCombinations = []
for statement1 in numStatements:
for statement2 in numStatements:
if statement1 == statement2:continue
numCombinations.append(statements.get_statement(statements.op_sum,[statement1,statement2]))
return numCombinations
def getCombinations(numStatements):
import statements
combinations = []
for code in range(1,3**len(numStatements)):
s = statements.statement()
s.operation = statements.op_sum
s.args = []
minusCount = 0
plusCount = 0
for i in range(len(numStatements)):
form = (code % (3**(i+1)))/(3**i)
if form ==0: continue
elif form ==1:
plusCount +=1
s.args.append(numStatements[i])
else: #form ==2
minusCount +=1
s.args.append(statements.get_statement(statements.op_minus,numStatements[i]))
if plusCount >= minusCount:
combinations.append(s)
return combinations
outer=[]
def check(classifier,keyStates,num):
successes = 0
for i in range(num):
smpl = createSample()
for i in range(len(keyStates)):
if round(classifier.classify(smpl)[i]) != keyStates[i].extractValue(smpl):
#print smpl.__dict__
#print classifier.classify(smpl), [kstate.extractValue(smpl) for kstate in keyStates]
break
else:successes +=1
return successes
state0 = statements.get_statement(statements.op_takeValue,'A')
state1 = statements.get_statement(statements.op_takeValue,'B')
state2 = statements.get_statement(statements.op_takeValue,'O')
state3 = statements.get_statement(statements.op_takeValue,'C1')
state4 = statements.get_statement(statements.op_takeValue,'C2')
state5 = statements.get_statement(statements.op_takeValue,'G')
state6 = statements.get_statement(statements.op_takeValue,'L1')
state7 = statements.get_statement(statements.op_takeValue,'L2')
state8 = statements.get_statement(statements.op_takeValue,'L3')
state9 = statements.get_statement(statements.op_takeValue,'L4')
boolStatements = [state2,state3,state4,state5]
numStatements = [state0,state1,state6,state7,state8,state9]
keyStates =[statements.get_statement(statements.op_takeValue,'R')]#,statements.get_statement(statements.op_takeValue,'isLandDry')]
slist = [createSample_prejudiced() for i in range(100)]
numparams= ['A','B','L1','L2','L3','L4']