def getMatrixDirectly_and_feature(ind):
import GTree
arrays = []
feature = []
prefixnum = 0
features = gol.get_val("feature_method")
classes = gol.get_val("classes")
MaxDeapth = gol.get_val("maxDeap")
New_Ind = GTree.GTreeGP()
for i in xrange(len(ind.nodes_list)):
if ind.nodes_list[i].getType() == nodeType["NONTERMINAL"]:
prefixnum = prefixnum + 1
for j in xrange(0, len(classes)):
locals()[classes[j]] = classes[j]
New_Ind.setRoot(ind.nodes_list[i])
array = eval(New_Ind.getCompiledCode())
arrays.append(list(array))
else:
arrays.append(list(ind.nodes_list[i].getData()))
for i in xrange(len(arrays)):
for j in xrange(len(features)):
if features[j] in arrays[i]:
feature.append(features[j])
arrays[i].remove(features[j])
pre_order = ind.nodes_list
cem = CEM(MaxDeapth, classes, prefixnum)
cem.construct_tree(pre_order, arrays)
ecocMatrix = np.array(cem.getMatrix())
feature = np.array(feature)
#1.There being a column with all 0 or 1 or -1
deletes = LC.zeroColumn(ecocMatrix)
ecocMatrix = np.delete(ecocMatrix, deletes, axis=1)
feature = np.delete(feature, deletes, axis=0)
#2.There being a column that is lack of 1 or -1
deletes = LC.onlyOneColumn(ecocMatrix)
ecocMatrix = np.delete(ecocMatrix, deletes, axis=1)
feature = np.delete(feature, deletes, axis=0)
#3.Two columns having the same numbers
deletes = LC.sameColumns(ecocMatrix, feature)
ecocMatrix = np.delete(ecocMatrix, deletes, axis=1)
feature = np.delete(feature, deletes, axis=0)
#4.Two columns having the opposite numbers
deletes = LC.opstColumns(ecocMatrix, feature)
ecocMatrix = np.delete(ecocMatrix, deletes, axis=1)
feature = np.delete(feature, deletes, axis=0)
#############################
return ecocMatrix, feature
