[英]Classification using SVM in python
我有一個包含2列的csv數據集,我想訓練SVM分類器,然后在給出X值時預測Y值。
我的數據集格式
X,Y
1.84166666681401,2
....
1.283333,4
Y數組僅(1,2,3,4)
Python代碼是:
import numpy
from sklearn import svm
import pandas as pd
x = pd.read_csv('train.csv', usecols=['1.84166666681401'])
y = pd.read_csv('train.csv', usecols=['2'])
x=numpy.array(x)
y=numpy.array(y)
clf = svm.SVC(C=1,kernel="linear")
clf.fit(x,y)
print(clf.predict(0.7882234))
但是我在運行代碼時出錯
Warning (from warnings module):
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/sklearn/utils/validation.py", line 578
y = column_or_1d(y, warn=True)
DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().
如何解決呢?
如警告所述,您傳入的是列向量( [(1,), (2,), (3,)]
)而不是行向量( [1, 2, 3]
)。 執行numpy.array(x).ravel()
而不是numpy.array(x)
來展平它。
在x=numpy.array(x)
y = y.reshape(len(dataset),1)
之前添加這段代碼
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