我想计算我的 LSTM 模型的混淆矩阵。
y_test= (17799,1)
y_Pred= (17799,1)的形状

我使用了以下代码：
from sklearn.metrics import chaos_matrix
cm = chaos_matrix(y_test, y_pred)

出现以下错误：

raise ValueError("{0} is not supported" .format(y_type))

ValueError: Continuous is not supported

both y_test and y_predict are normalized using minmaxscaler(0,1)
两个变量的前几行如下所示：
y_test={0,0,0,0.0216212}
y_predict={0.000433061,0.000433061,0.000433061,0.000450924}

请建议如何计算混淆矩阵 tp,fp,tn,fn 。