如何在libsvm-python中加载数据集
我想知道如何加载数据集,以便从libsvm python实现中读取数据集。我的数据是一个250X500矩阵,第一列是数据集标签。我使用以下代码读取数据:如何在libsvm-python中加载数据集,python,dataset,libsvm,Python,Dataset,Libsvm,我想知道如何加载数据集,以便从libsvm python实现中读取数据集。我的数据是一个250X500矩阵,第一列是数据集标签。我使用以下代码读取数据: with open("dataset3.txt") as textFile: lines = [line.split() for line in textFile] Matrix = [[0 for x in xrange(len(lines[0]))] for x in xrange(len(lines))] for y in rang
with open("dataset3.txt") as textFile:
lines = [line.split() for line in textFile]
Matrix = [[0 for x in xrange(len(lines[0]))] for x in xrange(len(lines))]
for y in range(0, len(lines)):
for x in range(0, len(lines[0])):
Matrix[y][x] = lines[y][x]
使用上面的代码,我将数据读入一个int的2d数组。如何使用该数组来执行svm训练和评估
param = svm_parameter('-t 0 -c 4 -b 1')
m = svm_train(Matrix, param)
文本文件:
1 0 9 0 0 0 0 5 2 5 15 2 3 50 0 4 6 27 0 16 34 0 11 30 12 23 41 1 0 2 0 10 67 34 ...
-1 0 10 0 0 0 0 1 0 2 5 1 8 14 0 12 11 4 2 4 22 0 6 40 8 20 47 2 1 0 0 2 1 21 0 1 11 1 ...
...
Matrix = []
with open('dataset3.txt') as f:
row = []
for line in f:
data = line.split()
target = float(data[0]) # target value
str1 = str(target)
for i,j in enumerate(data):
if i==0:
continue
else:
str1 = str1 + " " + str(i) +":"+ str(j) +" "
row.append(str1)
试试这个代码
with open('dataset3.txt') as f:
Matrix = [map(float, line.split()) for line in f]
读取每一行对于f中的行
line.split()
将map(float,line.split())
值转换为
float
Matrix = []
with open('dataset3.txt') as f:
for line in f:
data = line.split()
target = float(data[0]) # target value
row = []
for i, (idx, value) in enumerate([item.split(':') for item in data[1:]]):
n = int(idx) - (i + 1) # num missing
for _ in range(n):
row.append(0) # for missing
row.append(float(value))
Matrix.append(row)
请提供
dataset3.txt
。不,它不起作用,我发现数据形态必须是这样的:+1:0.708333 2:1 3:1 4:-0.320755:-0.105023 6:-1 7:1 8:-0.419847 9:-1 10:-0.225806 12:1 13:-1您提供的文本文件是1 0 9 0 0 0 0 5 2 15 2
…是的,正是一个由251x461个值组成的数组,与提供的值相同。我得到的是:for I,(idx,value)在枚举中([1:][1]中的项的[item.split(':')):值错误:需要多个值才能解包