Python averageGain Examples

Example #1

File: lab1.py Project: jonac/machine_learning

def ownBuildTree(dataset,attributes,max_depth=2,level=1):
	if max_depth < 1:
		return
	datasets=[]
	bestAttr = dtree.bestAttribute(dataset,attributes)
	attributesLeft = [x for x in attributes if x != bestAttr]
	if not dataset:
		print "Leaf Node: level",level,"Best attribute", bestAttr, "Most common",mostCommon(dataset)
		return
	elif dtree.allPositive(dataset):
		print "Leaf Node: level",level,"Best attribute", bestAttr, "All true"
		return
	elif dtree.allNegative(dataset):
		print "Leaf Node: level",level,"Best attribute", bestAttr, "all false"
		return

	for x in bestAttr.values:
		datasets.append(dtree.select(dataset, bestAttr, x))
	for idx, d in enumerate(datasets):
		print "set", idx, "in",level,"best attribute", bestAttr
		for attr in attributes:
			print "attr",attr,":",dtree.averageGain(d, attr)
	for d in datasets:
		ownBuildTree(d,attributesLeft,max_depth-1,level+1)

	print "\n"

Example #2

File: lab1.py Project: jonac/machine_learning

def ownTreeBuilder(dataset, attributes):
	max_val = 0
	for each in attributes.values:
		newDataset = dtree.select(dataset, attributes, each)
		for idy,attr in enumerate(m.attributes):
			print "Attr", idy,"=",
			gmax = dtree.averageGain(newDataset,attr)
			max_val = max(max_val,gmax)
			print gmax
		print "The highest value =", max_val

Example #3

File: lab1.py Project: jonac/machine_learning

def assignment2():
	print "Assignment 2:"
	for idx, dataset in enumerate(datasets):
		print "Dataset",idx,":"
		max_val=0
		for idy,attr in enumerate(m.attributes):
			print "Attr", idy,"=",
			gmax = dtree.averageGain(dataset,attr)
			max_val = max(max_val,gmax)
			print gmax
		print "The highest value =", max_val
	print "\n"

Example #4

File: lab1.py Project: jonac/machine_learning

def assignment3():
	print "Assignment 3:"
	max_val = 0
	for each in m.attributes[4].values:
		newDataset = dtree.select(m.monk1, m.attributes[4], each)
		for idy,attr in enumerate(m.attributes):
			print "Attr", idy,"=",
			gmax = dtree.averageGain(newDataset,attr)
			max_val = max(max_val,gmax)
			print gmax
		print "The highest value =", max_val
	for idx,x in enumerate(datasets):
		t=dtree.buildTree(x, m.attributes)
		print datasetnames[idx],":"
		print "training set", dtree.check(t,x)
		print "Test set",dtree.check(t,testsets[idx])
	print "\n"