我正在嘗試此代碼片段。我使用scikits.learn 0.8.1 from scikits.learn import linear_model
import numpy as np
num_rows = 10000
X = np.zeros([num_rows,2])
y = np.zeros([num_rows,1])
# assume here I have filled in X
我有一個大的(100K由30K)和(非常)在svmlight格式稀疏數據集,其餘加載如下: import numpy as np
from scipy.cluster.vq import kmeans2
from scipy.spatial.distance import pdist, squareform
from sklearn.datasets import load_svmlight
我適合邏輯迴歸模型,並使用訓練基於訓練數據集的模型以下 import scikits as sklearn
from sklearn.linear_model import LogisticRegression
lr = LogisticRegression(C=0.1, penalty='l1')
model = lr.fit(training[:,0:-1], training[:,-1