def _setupTree1a(self):
examples1 = [['p1', 0, 1, 0.1, 4.0, 0], ['p2', 0, 0, 0.1, 4.1, 1],
['p3', 0, 0, 1.1, 4.2, 2], ['p4', 0, 1, 1.1, 4.2, 2],
['p5', 1, 0, 0.1, 4.2, 2], ['p6', 1, 0, 1.1, 4.2, 2],
['p7', 1, 1, 0.1, 4.2, 2], ['p8', 1, 1, 1.1, 4.0, 0]]
attrs = range(1, len(examples1[0]) - 1)
nPossibleVals = [0, 2, 2, 0, 0, 3]
boundsPerVar = [0, 0, 0, 1, -1, 0]
self.t1 = BuildQuantTree.QuantTreeBoot(examples1, attrs, nPossibleVals,
boundsPerVar)
self.examples1 = examples1
def testRecycle(self):
""" try recycling descriptors """
examples1 = [[3,0,0],
[3,1,1],
[1,0,0],
[0,0,1],
[1,1,0],
]
attrs = range(2)
nPossibleVals = [2,2,2]
boundsPerVar=[1,0,0]
self.t1 = BuildQuantTree.QuantTreeBoot(examples1,attrs,nPossibleVals,boundsPerVar,
recycleVars=1)
assert self.t1.GetLabel()==0,self.t1.GetLabel()
assert self.t1.GetChildren()[0].GetLabel()==1
assert self.t1.GetChildren()[1].GetLabel()==1
assert self.t1.GetChildren()[1].GetChildren()[0].GetLabel()==0
assert self.t1.GetChildren()[1].GetChildren()[1].GetLabel()==0
def testRandomForest(self):
""" try random forests descriptors """
import random
random.seed(23)
nAttrs = 100
nPts = 10
examples = []
for i in range(nPts):
descrs = [random.randint(0,1) for x in range(nAttrs)]
act = sum(descrs) > nAttrs/2
examples.append(descrs+[act])
attrs = range(nAttrs)
nPossibleVals = [2]*(nAttrs+1)
boundsPerVar=[0]*nAttrs+[0]
self.t1 = BuildQuantTree.QuantTreeBoot(examples,attrs,
nPossibleVals,boundsPerVar,
maxDepth=1,
recycleVars=1,
randomDescriptors=3)
assert self.t1.GetLabel()==49,self.t1.GetLabel()
assert self.t1.GetChildren()[0].GetLabel()==3,self.t1.GetChildren()[0].GetLabel()
assert self.t1.GetChildren()[1].GetLabel()==54,self.t1.GetChildren()[1].GetLabel()
def test8RandomForest(self):
""" try random forests descriptors """
import random
random.seed(23)
nAttrs = 100
nPts = 10
examples = []
for i in range(nPts):
descrs = [int(random.random() > 0.5) for x in range(nAttrs)]
act = sum(descrs) > nAttrs / 2
examples.append(descrs + [act])
attrs = list(range(nAttrs))
nPossibleVals = [2] * (nAttrs + 1)
boundsPerVar = [0] * nAttrs + [0]
self.t1 = BuildQuantTree.QuantTreeBoot(examples,
attrs,
nPossibleVals,
boundsPerVar,
maxDepth=1,
recycleVars=1,
randomDescriptors=3)
self.assertEqual(self.t1.GetLabel(), 49)
self.assertEqual(self.t1.GetChildren()[0].GetLabel(), 3)
self.assertEqual(self.t1.GetChildren()[1].GetLabel(), 54)