[英]Type error with sklearn's accuracy_score function
我正在尝试在python中从sklearn.metrics运行precision_score。 我的真实y和预测y均为稀疏矩阵格式-
import scipy.sparse as sp
from sklearn.metrics import accuracy_score
y_true = sp.csr_matrix(y.values) # where y is a multi-label dataframe
y_pred = model.predict(X) # X is same format as y_true
accuracy_score(y_true, y_pred)
我收到以下错误:
TypeError: len() of unsized object
我检查了文档 ,它应该能够接受稀疏矩阵。
为了清楚起见,当我尝试查看其内容时,会同时获得以下内容:
[In] y_true
[Out] <9646x1248 sparse matrix of type '<class 'numpy.int64'>'
with 36700 stored elements in Compressed Sparse Row format>
[In] y_pred
[Out] <9646x1248 sparse matrix of type '<class 'numpy.int64'>'
with 373603 stored elements in Compressed Sparse Row format>
为什么会出现此错误,以及如何解决输入问题?
将矩阵转换为规则矩阵y_pred = y_pred.A
和y_true = y_true.A
,然后计算accuracy_score(y_true, y_pred)
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