def report_tree(self, name):
filename = name + '.tsv'
stream = file(filename, 'wt')
# header
stream.write('\t'.join(self.names) + '\n')
stream.write('\t'.join(self.types) + '\n')
stream.write('class\n')
# rows
for row in self.rows:
if row[0] == 'skip':
continue
row += [''] * (len(self.names) - len(row))
stream.write('\t'.join(row) + '\n')
stream.close()
# See http://www.ailab.si/orange/doc/ofb/c_otherclass.htm
try:
import orange
import orngTree
except ImportError:
sys.stderr.write(
'Install Orange from http://www.ailab.si/orange/ for a classification tree.\n'
)
return None
data = orange.ExampleTable(filename)
tree = orngTree.TreeLearner(data, sameMajorityPruning=1, mForPruning=2)
orngTree.printTxt(tree, maxDepth=4)
text_tree = orngTree.dumpTree(tree)
file(name + '.txt', 'wt').write(text_tree)
orngTree.printDot(tree,
fileName=name + '.dot',
nodeShape='ellipse',
leafShape='box')
return text_tree
def summary(self):
sys.stdout.write("%u tests, %u passed, %u skipped, %u failed\n\n" %
(self.tests, self.passed, self.skipped, self.failed))
sys.stdout.flush()
name, ext = os.path.splitext(os.path.basename(sys.argv[0]))
filename = name + '.tsv'
stream = file(filename, 'wt')
# header
stream.write('\t'.join(self.names) + '\n')
stream.write('\t'.join(self.types) + '\n')
stream.write('class\n')
# rows
for row in self.rows:
row += [''] * (len(self.names) - len(row))
stream.write('\t'.join(row) + '\n')
stream.close()
# See http://www.ailab.si/orange/doc/ofb/c_otherclass.htm
try:
import orange
import orngTree
except ImportError:
sys.stderr.write(
'Install Orange from http://www.ailab.si/orange/ for a classification tree.\n'
)
return
data = orange.ExampleTable(filename)
tree = orngTree.TreeLearner(data, sameMajorityPruning=1, mForPruning=2)
orngTree.printTxt(tree, maxDepth=4)
file(name + '.txt', 'wt').write(orngTree.dumpTree(tree))
orngTree.printDot(tree,
fileName=name + '.dot',
nodeShape='ellipse',
leafShape='box')
def report_tree(self, name):
filename = name + '.tsv'
stream = file(filename, 'wt')
# header
stream.write('\t'.join(self.names) + '\n')
stream.write('\t'.join(self.types) + '\n')
stream.write('class\n')
# rows
for row in self.rows:
if row[0] == 'skip':
continue
row += ['']*(len(self.names) - len(row))
stream.write('\t'.join(row) + '\n')
stream.close()
# See http://www.ailab.si/orange/doc/ofb/c_otherclass.htm
try:
import orange
import orngTree
except ImportError:
sys.stderr.write('Install Orange from http://www.ailab.si/orange/ for a classification tree.\n')
return None
data = orange.ExampleTable(filename)
tree = orngTree.TreeLearner(data, sameMajorityPruning=1, mForPruning=2)
orngTree.printTxt(tree, maxDepth=4)
text_tree = orngTree.dumpTree(tree)
file(name + '.txt', 'wt').write(text_tree)
orngTree.printDot(tree, fileName=name+'.dot', nodeShape='ellipse', leafShape='box')
return text_tree
def summary(self):
sys.stdout.write("%u tests, %u passed, %u skipped, %u failed\n\n" % (self.tests, self.passed, self.skipped, self.failed))
sys.stdout.flush()
name, ext = os.path.splitext(os.path.basename(sys.argv[0]))
filename = name + '.tsv'
stream = file(filename, 'wt')
# header
stream.write('\t'.join(self.names) + '\n')
stream.write('\t'.join(self.types) + '\n')
stream.write('class\n')
# rows
for row in self.rows:
row += ['']*(len(self.names) - len(row))
stream.write('\t'.join(row) + '\n')
stream.close()
# See http://www.ailab.si/orange/doc/ofb/c_otherclass.htm
try:
import orange
import orngTree
except ImportError:
sys.stderr.write('Install Orange from http://www.ailab.si/orange/ for a classification tree.\n')
return
data = orange.ExampleTable(filename)
tree = orngTree.TreeLearner(data, sameMajorityPruning=1, mForPruning=2)
orngTree.printTxt(tree, maxDepth=4)
file(name+'.txt', 'wt').write(orngTree.dumpTree(tree))
orngTree.printDot(tree, fileName=name+'.dot', nodeShape='ellipse', leafShape='box')
#!/usr/bin/env python
#
# See also:
# http://www.ailab.si/orange/doc/ofb/c_otherclass.htm
import os.path
import sys
import orange
import orngTree
for arg in sys.argv[1:]:
name, ext = os.path.splitext(arg)
data = orange.ExampleTable(arg)
tree = orngTree.TreeLearner(data, sameMajorityPruning=1, mForPruning=2)
orngTree.printTxt(tree)
file(name + '.txt', 'wt').write(orngTree.dumpTree(tree) + '\n')
orngTree.printDot(tree,
fileName=name + '.dot',
nodeShape='ellipse',
leafShape='box')
#!/usr/bin/env python
#
# See also:
# http://www.ailab.si/orange/doc/ofb/c_otherclass.htm
import os.path
import sys
import orange
import orngTree
for arg in sys.argv[1:]:
name, ext = os.path.splitext(arg)
data = orange.ExampleTable(arg)
tree = orngTree.TreeLearner(data, sameMajorityPruning=1, mForPruning=2)
orngTree.printTxt(tree)
file(name+'.txt', 'wt').write(orngTree.dumpTree(tree) + '\n')
orngTree.printDot(tree, fileName=name+'.dot', nodeShape='ellipse', leafShape='box')