def runCode(generator): cpcode = generator.generate(m) cc = CPCompiler() runmodel = cc.compileCode(cpcode,d) runmodel.iterations = 1000 result = runmodel.run() return result
def doLearn(model,data): cm = LinearCPLogicGenerator() cpcode = cm.generate(model) cc = CPCompiler() runmodel = cc.compileCode(cpcode,data) runmodel.iterations = 500 return runmodel.run()
# -*- coding: utf-8 -*-
from semcplogic.dataset import Dataset
from semcplogic.cpmodel import TableResultInterpreter
from semcplogic.cpcompiler import CPCompiler, ProblogExample
from semcplogic.problogresult import GnuplotDrawer
import pprint
#We use "breaks" because break is a reserved keyword in problog
cpcode = """t(_) : breaks <-- throws(mary).
t(_) : breaks <-- throws(john).
t(_) : throws(mary) <-- true.
t(_) : throws(john) <-- true.
""".split("\n")
cc = CPCompiler()
data = []
#Two ideas that don't work
#i = 0
#for i in xrange(i+1,i+1+23):
# data.append(ProblogExample(i,"throws(mary),throws(john),breaks"))
#for i in xrange(i+1,i+1+2):
# data.append(ProblogExample(i,"throws(mary),throws(john)"))
#for i in xrange(i+1,i+1+15):
# data.append(ProblogExample(i,"throws(john),breaks"))
#for i in xrange(i+1,i+1+10):
# data.append(ProblogExample(i,"throws(john)"))
#i = 0
#for i in xrange(i+1,i+1+23):
from semcplogic.model import ModelBuilder
from semcplogic.cpmodel import NonLinearCPLogicGenerator,TableResultInterpreter
from semcplogic.cpcompiler import CPCompiler
from semcplogic.problogresult import GnuplotDrawer
import pprint
b = ModelBuilder()
b.addNode("a")
b.addNode("b",0,0)
b.addNode("c",0,0)
b.setInfluence("a","b",5)
b.setInfluence("a","c",5)
m = b.consume()
m.nodes["c"].setLevels(["laag","middel","hoog"])
d = m.sample(100)
d2 = d.discretise({"a":["laag","hoog"],"b":["laag","hoog"],"c":["laag","middel","hoog"]})
cm = NonLinearCPLogicGenerator()
cpcode = cm.generate(m)
cc = CPCompiler()
runmodel = cc.compileCode(cpcode,d2)
runmodel.iterations = 100
result = runmodel.run()
g = GnuplotDrawer()
g.draw(result)
t = TableResultInterpreter()
r = t.interprete(m,result.latest())
pprint.pprint(r)
