def tests():
print '-1-'
indata = data_from_file('in.dta')
outdata = data_from_file('out.dta')
run_nonlineartransformation(indata,outdata)
print '-8-'
print '-9-'
print '-10-'
def tests():
print '-1-'
indata = data_from_file('in.dta')
outdata = data_from_file('out.dta')
run_nonlineartransformation(indata, outdata)
print '-8-'
print '-9-'
print '-10-'
def tests():
print '-1-'
print '-2-'
indata = data_from_file('in.dta')
#split in.dta into training(25) and validation(10)
indata_train = indata[:25]
indata_val = indata[25:]
outdata = data_from_file('out.dta')
# train on 25 examples
# validate on 10 examples
run_validation(indata_train, indata_val, outdata)
print '-3-'
print '-4-'
print '-5-'
run_validation(indata_val, indata_train, outdata)
print '-6-'
print '-7-'
test_cv()
print '-8-'
run_pla_vs_svm(1000, 10)
print '-9-'
print '-10-'
def tests():
print '-1-'
print '-2-'
indata = data_from_file('in.dta')
#split in.dta into training(25) and validation(10)
indata_train = indata[:25]
indata_val = indata[25:]
outdata = data_from_file('out.dta')
# train on 25 examples
# validate on 10 examples
run_validation(indata_train,indata_val,outdata)
print '-3-'
print '-4-'
print '-5-'
run_validation(indata_val,indata_train,outdata)
print '-6-'
print '-7-'
test_cv()
print '-8-'
run_pla_vs_svm(1000,10)
print '-9-'
print '-10-'
