[英]how to find false positive rate in tf.keras.metrics
I am trying to find False positive rate.我试图找到误报率。 I have false positive and true negative value and I am trying this line of code
我有误报和真负值,我正在尝试这行代码
# calculate false positives and negatives based on the predicted output vs. expected output
fp = tf.keras.metrics.FalsePositives()
fp.update_state(bigy[test], pred)
fn = tf.keras.metrics.FalseNegatives()
fn.update_state(bigy[test], pred)
tn = tf.keras.metrics.TrueNegatives()
tn.update_state(bigy[test], pred)
#Find flase positive rate.
# fpr = false postive rate, fp = false positive, tn is true negative.
fpr = fp/(fp+tn)
#FPR = FP/(FP+TN)
But its not working giving me unspupported operand type error.但它不起作用给我不支持的操作数类型错误。 I guess values from tf.keras.metrics.TrueNagatives() are not int right So how Do I calculate false postive rate then
我猜来自 tf.keras.metrics.TrueNagatives() 的值不正确 那么我如何计算假阳性率
According to the docs , you still have to call .result().numpy()
on the values.根据docs ,您仍然必须对值调用
.result().numpy()
。
fp = tf.keras.metrics.FalsePositives()
fp.update_state(bigy[test], pred)
fp = fp.result().numpy()
fn = tf.keras.metrics.FalseNegatives()
fn.update_state(bigy[test], pred)
fn = fn.result().numpy()
tn = tf.keras.metrics.TrueNegatives()
tn.update_state(bigy[test], pred)
tn = tn.result().numpy()
# Find false positive rate.
fpr = fp / (fp + tn)
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