如何在使用Tflearn時獲得混淆矩陣

Question

我想獲得混淆矩陣 ，但我需要一組謂詞項和標籤。 我怎樣才能從這個例子中獲得這個數據（Pannous speech_data）https://github.com/llSourcell/tensorflow_speech_recognition_demo/blob/master/demo.py

謝謝！

model.fit(trainX, trainY, n_epoch=10, validation_set=(testX, testY), show_metric=True,batch_size=batch_size) 
_y=model.predict(X) 
predictions.append(_y) 
labels.append(trainY) 
bp() 
confusionMat=tf.confusion_matrix(labels,predictions,num_classes=classes,dtype=tf.int32,name=None,weights=None) 
print(np.matrix(confusionMat)) 

Answer 1

_y=model.predict(X) # predictions 
y = train_Y # i think this is actual labels data 

tf.confusion_matrix(
labels,    # put y here 
predictions,   #put _y here 
num_classes=None, 
dtype=tf.int32, 
name=None, 
weights=None 
)