#
-*-
coding:
utf-8
-*-
"""
Created
on
Fri
9
23:15:47
2017
@author
"""
#
-*-
coding:
utf-8
-*-
"""
Created
on
Tue
May
30
20:31:02
2017
@author:
"""
import
pandas
as
pd
import
numpy
as
np
from
sklearn.preprocessing
import
Imputer
from
sklearn.cross_validation
import
train_test_split
from
sklearn
import
svm
from
sklearn
import
cross_validation
from
sklearn.decomposition
import
PCA
from
sklearn.lda
import
LDA
def
loadData(filePath):
fr
=
open(filePath,'r+')
lines
=
fr.readlines()
Data
=
[]
label=
[]
for
line
in
lines:
items
=
line.strip().split(",")
label.append(items[0])
Data.append([float(items[i])
for
i
in
range(1,len(items))])
return
Data,label
if
__name__
==
'__main__':
x1_train,y1_train
=
loadData('C:\Users\Administrator\SPECTF.train')
x_test,y_test
=
loadData('C:\Users\Administrator\SPECTF.test')
x_train=[]
y_train=[]
for
i
in
range(23,37):
x_train.append(x1_train[i])
y_train.append(y1_train[i])
for
i
in
range(173,187):
x_train.append(x1_train[i])
y_train.append(y1_train[i])