def main():
datasetFile = 'rs126.fa'
groupsFile = 'RS126/groups.txt'
protDict = inOutFunctions.getProteinDict(datasetFile)
groups = inOutFunctions.getGroups(groupsFile)
#for sw in range(7, 16, 2):
# print 'sw = ' + str(sw)
#
# for x in range(7):
sw, x = 13, 3
for x in range(7):
print x
ann = nn3psp.make_NN(sw, protDict, groups, x)
print nn3psp.test_NN(ann, sw, protDict, groups, x)
for q in ins:
inputs_train.append(q)
for q in outs:
outputs_train.append(q)
clf = svm.SVC(C=1.5, gamma=0.1)
clf.fit(inputs_train, outputs_train)
return clf
datasetFile = 'rs126.fa'
groupsFile = 'RS126/groups.txt'
protDict = inOutFunctions.getProteinDict(datasetFile)
groups = inOutFunctions.getGroups(groupsFile)
def test_SMV_2(clf, sw, dataset, groups, without, dssp):
cq = 0
cqp = 0
cc = 0
sov = 0
q = 18
qq = 0
protCodes = []
for s in groups[without]:
protCodes.append(s)
# -*- coding: utf-8 -*-
"""
Created on Sat Feb 06 14:40:03 2016
@author: Vlado
"""
import inOutFunctions
protD = inOutFunctions.getProteinDict('rs126.fa')
gr = inOutFunctions.getGroups('RS126/groups.txt')
for g in gr:
for p in g:
if protD.has_key(p) == False:
print p