Python Quantize.feq方法代碼示例

本文整理匯總了Python中rdkit.ML.Data.Quantize.feq方法的典型用法代碼示例。如果您正苦於以下問題：Python Quantize.feq方法的具體用法？Python Quantize.feq怎麽用？Python Quantize.feq使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類rdkit.ML.Data.Quantize的用法示例。

在下文中一共展示了Quantize.feq方法的11個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: testMultSplit3

# 需要導入模塊: from rdkit.ML.Data import Quantize [as 別名]
# 或者: from rdkit.ML.Data.Quantize import feq [as 別名]
 def testMultSplit3(self):
   """  4 possible results
   """
   d = [(1.,0),
        (1.1,0),
        (1.2,0),
        (1.4,2),
        (1.4,2),
        (1.6,2),
        (2.,2),
        (2.1,1),
        (2.1,1),
        (2.1,1),
        (2.2,1),
        (2.3,1),
        (3.0,3),
        (3.1,3),
        (3.2,3),
        (3.3,3)]
   varValues = map(lambda x:x[0],d)
   resCodes = map(lambda x:x[1],d)
   nPossibleRes =4
   res = Quantize.FindVarMultQuantBounds(varValues,3,resCodes,nPossibleRes)
   target = ([1.30, 2.05, 2.65],1.97722)
   assert Quantize.feq(res[1],target[1],1e-4),\
          'InfoGain comparison failed: %s != %s'%(res[1],target[1])
   assert min(map(lambda x,y:Quantize.feq(x,y,1e-4),res[0],target[0]))==1,\
          'split bound comparison failed: %s != %s'%(res[0],target[0])

開發者ID:CKannas，項目名稱:rdkit，代碼行數:30，代碼來源:UnitTestQuantize.py

示例2: testMultSplit5

# 需要導入模塊: from rdkit.ML.Data import Quantize [as 別名]
# 或者: from rdkit.ML.Data.Quantize import feq [as 別名]
 def testMultSplit5(self):
   """ dual valued, with an island, a bit noisy
   """
   d = [(1., 0), (1.1, 0), (1.2, 0), (1.4, 1), (1.4, 0), (1.6, 1), (2., 1), (2.1, 0), (2.1, 0),
        (2.1, 0), (2.2, 1), (2.3, 0)]
   varValues, resCodes = zip(*d)
   nPossibleRes = 2
   res = Quantize.FindVarMultQuantBounds(varValues, 2, resCodes, nPossibleRes)
   target = ([1.3, 2.05], .34707)
   assert Quantize.feq(res[1],target[1],1e-4),\
          'InfoGain comparison failed: %s != %s'%(res[1],target[1])
   assert min(map(lambda x,y:Quantize.feq(x,y,1e-4),res[0],target[0]))==1,\
          'split bound comparison failed: %s != %s'%(res[0],target[0])

開發者ID:abradle，項目名稱:rdkit，代碼行數:15，代碼來源:UnitTestQuantize.py

示例3: testMultSplit2

# 需要導入模塊: from rdkit.ML.Data import Quantize [as 別名]
# 或者: from rdkit.ML.Data.Quantize import feq [as 別名]
 def testMultSplit2(self):
   """ same test as testMultSplit1, but out of order
   """
   d = [(1., 0), (2.1, 1), (1.1, 0), (1.2, 0), (1.4, 2), (1.6, 2), (2., 2), (1.4, 2), (2.1, 1),
        (2.2, 1), (2.1, 1), (2.3, 1)]
   varValues, resCodes = zip(*d)
   nPossibleRes = 3
   res = Quantize.FindVarMultQuantBounds(varValues, 2, resCodes, nPossibleRes)
   target = ([1.3, 2.05], 1.55458)
   assert Quantize.feq(res[1],target[1],1e-4),\
          'InfoGain comparison failed: %s != %s'%(res[1],target[1])
   assert min(map(lambda x,y:Quantize.feq(x,y,1e-4),res[0],target[0]))==1,\
          'split bound comparison failed: %s != %s'%(res[0],target[0])

開發者ID:abradle，項目名稱:rdkit，代碼行數:15，代碼來源:UnitTestQuantize.py

示例4: testMultSplit3_4results

# 需要導入模塊: from rdkit.ML.Data import Quantize [as 別名]
# 或者: from rdkit.ML.Data.Quantize import feq [as 別名]
 def testMultSplit3_4results(self):
   # """  4 possible results """
   d = [(1., 0), (1.1, 0), (1.2, 0), (1.4, 2), (1.4, 2), (1.6, 2), (2., 2), (2.1, 1), (2.1, 1),
        (2.1, 1), (2.2, 1), (2.3, 1), (3.0, 3), (3.1, 3), (3.2, 3), (3.3, 3)]
   varValues, resCodes = zip(*d)
   nPossibleRes = 4
   res = Quantize.FindVarMultQuantBounds(varValues, 3, resCodes, nPossibleRes)
   target = ([1.30, 2.05, 2.65], 1.97722)
   self.assertTrue(
     Quantize.feq(res[1], target[1], 1e-4),
     'InfoGain comparison failed: %s != %s' % (res[1], target[1]))
   self.assertEqual(
     min(map(lambda x, y: Quantize.feq(x, y, 1e-4), res[0], target[0])), 1,
     'split bound comparison failed: %s != %s' % (res[0], target[0]))

開發者ID:connorcoley，項目名稱:rdkit，代碼行數:16，代碼來源:UnitTestQuantize.py

示例5: testMultSplit1_simple_dual

# 需要導入模塊: from rdkit.ML.Data import Quantize [as 別名]
# 或者: from rdkit.ML.Data.Quantize import feq [as 別名]
 def testMultSplit1_simple_dual(self):
   # """ simple dual split """
   d = [(1., 0), (1.1, 0), (1.2, 0), (1.4, 2), (1.4, 2), (1.6, 2), (2., 2), (2.1, 1), (2.1, 1),
        (2.1, 1), (2.2, 1), (2.3, 1)]
   varValues, resCodes = zip(*d)
   nPossibleRes = 3
   res = Quantize.FindVarMultQuantBounds(varValues, 2, resCodes, nPossibleRes)
   target = ([1.3, 2.05], 1.55458)
   self.assertEqual(
     min(map(lambda x, y: Quantize.feq(x, y, 1e-4), res[0], target[0])), 1,
     'split bound comparison failed: %s != %s' % (res[0], target[0]))
   self.assertTrue(
     Quantize.feq(res[1], target[1], 1e-4),
     'InfoGain comparison failed: %s != %s' % (res[1], target[1]))

開發者ID:connorcoley，項目名稱:rdkit，代碼行數:16，代碼來源:UnitTestQuantize.py

示例6: testMultSplit4_dualValued_island

# 需要導入模塊: from rdkit.ML.Data import Quantize [as 別名]
# 或者: from rdkit.ML.Data.Quantize import feq [as 別名]
 def testMultSplit4_dualValued_island(self):
   # """ dual valued, with an island """
   d = [(1., 0), (1.1, 0), (1.2, 0), (1.4, 1), (1.4, 1), (1.6, 1), (2., 1), (2.1, 0), (2.1, 0),
        (2.1, 0), (2.2, 0), (2.3, 0)]
   varValues, resCodes = zip(*d)
   nPossibleRes = 2
   res = Quantize.FindVarMultQuantBounds(varValues, 2, resCodes, nPossibleRes)
   target = ([1.3, 2.05], .91830)
   self.assertTrue(
     Quantize.feq(res[1], target[1], 1e-4),
     'InfoGain comparison failed: %s != %s' % (res[1], target[1]))
   self.assertEqual(
     min(map(lambda x, y: Quantize.feq(x, y, 1e-4), res[0], target[0])), 1,
     'split bound comparison failed: %s != %s' % (res[0], target[0]))

開發者ID:connorcoley，項目名稱:rdkit，代碼行數:16，代碼來源:UnitTestQuantize.py

示例7: testOneSplit5

# 需要導入模塊: from rdkit.ML.Data import Quantize [as 別名]
# 或者: from rdkit.ML.Data.Quantize import feq [as 別名]
 def testOneSplit5(self):
   """ same as testOneSplit1 data, but out of order
   """
   d = [(1., 0), (1.1, 0), (2.2, 1), (1.2, 0), (1.6, 0), (1.4, 0), (2., 1), (2.1, 1), (1.4, 0),
        (2.3, 1)]
   varValues, resCodes = zip(*d)
   nPossibleRes = 2
   res = Quantize.FindVarQuantBound(varValues, resCodes, nPossibleRes)
   target = (1.8, 0.97095)
   assert list(map(lambda x,y:Quantize.feq(x,y,1e-4),res,target))==[1,1],\
          'result comparison failed: %s != %s'%(res,target)

開發者ID:abradle，項目名稱:rdkit，代碼行數:13，代碼來源:UnitTestQuantize.py

示例8: testOneSplit4

# 需要導入模塊: from rdkit.ML.Data import Quantize [as 別名]
# 或者: from rdkit.ML.Data.Quantize import feq [as 別名]
 def testOneSplit4(self):
   """ lots of duplicates
   """
   d = [(1., 0), (1.1, 0), (1.2, 0), (1.2, 1), (1.4, 0), (1.4, 0), (1.6, 0), (2., 1), (2.1, 1),
        (2.1, 1), (2.1, 1), (2.1, 1), (2.2, 1), (2.3, 1)]
   varValues, resCodes = zip(*d)
   nPossibleRes = 2
   res = Quantize.FindVarQuantBound(varValues, resCodes, nPossibleRes)
   target = (1.8, 0.68939)
   assert list(map(lambda x,y:Quantize.feq(x,y,1e-4),res,target))==[1,1],\
          'result comparison failed: %s != %s'%(res,target)

開發者ID:abradle，項目名稱:rdkit，代碼行數:13，代碼來源:UnitTestQuantize.py

示例9: testOneSplit3

# 需要導入模塊: from rdkit.ML.Data import Quantize [as 別名]
# 或者: from rdkit.ML.Data.Quantize import feq [as 別名]
 def testOneSplit3(self):
   """ optimal division not possibe
   """
   d = [(1., 0), (1.1, 0), (1.2, 0), (1.4, 2), (1.4, 2), (1.6, 2), (2., 2), (2.1, 1), (2.2, 1),
        (2.3, 1)]
   varValues, resCodes = zip(*d)
   nPossibleRes = 3
   res = Quantize.FindVarQuantBound(varValues, resCodes, nPossibleRes)
   target = (1.3, 0.88129)
   assert list(map(lambda x,y:Quantize.feq(x,y,1e-4),res,target))==[1,1],\
          'result comparison failed: %s != %s'%(res,target)

開發者ID:abradle，項目名稱:rdkit，代碼行數:13，代碼來源:UnitTestQuantize.py

示例10: testOneSplit2_noise

# 需要導入模塊: from rdkit.ML.Data import Quantize [as 別名]
# 或者: from rdkit.ML.Data.Quantize import feq [as 別名]
 def testOneSplit2_noise(self):
   # """ some noise """
   d = [(1., 0), (1.1, 0), (1.2, 0), (1.4, 0), (1.4, 1), (1.6, 0), (2., 1), (2.1, 1), (2.2, 1),
        (2.3, 1)]
   varValues, resCodes = zip(*d)
   nPossibleRes = 2
   res = Quantize.FindVarQuantBound(varValues, resCodes, nPossibleRes)
   target = (1.8, 0.60999)
   self.assertEqual(
     list(map(lambda x, y: Quantize.feq(x, y, 1e-4), res, target)), [1, 1],
     'result comparison failed: %s != %s' % (res, target))

開發者ID:connorcoley，項目名稱:rdkit，代碼行數:13，代碼來源:UnitTestQuantize.py

示例11: testOneSplit2

# 需要導入模塊: from rdkit.ML.Data import Quantize [as 別名]
# 或者: from rdkit.ML.Data.Quantize import feq [as 別名]
 def testOneSplit2(self):
   """ some noise
   """
   d = [(1.,0),
        (1.1,0),
        (1.2,0),
        (1.4,0),
        (1.4,1),
        (1.6,0),
        (2.,1),
        (2.1,1),
        (2.2,1),
        (2.3,1)]
   varValues = map(lambda x:x[0],d)
   resCodes = map(lambda x:x[1],d)
   nPossibleRes = 2
   res = Quantize.FindVarQuantBound(varValues,resCodes,nPossibleRes)
   target = (1.8,0.60999)
   assert map(lambda x,y:Quantize.feq(x,y,1e-4),res,target)==[1,1],\
          'result comparison failed: %s != %s'%(res,target)

開發者ID:CKannas，項目名稱:rdkit，代碼行數:22，代碼來源:UnitTestQuantize.py

注：本文中的rdkit.ML.Data.Quantize.feq方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。