[英]How to skip an operation in 2 layers of loop in python?
I am currently working on an ML project and the code structure looks like this.我目前正在做一个 ML 项目,代码结构如下所示。 Basically, I want to train 3 different models for 3 different data.基本上,我想为 3 个不同的数据训练 3 个不同的模型。 Now I know some models fail for some of the products which are fine, I just want to know how I can skip them and move to the next model/product.现在我知道有些模型在某些很好的产品中失败了,我只想知道如何跳过它们并转移到下一个模型/产品。 It is even better if I can completely avoid the looping.如果我能完全避免循环就更好了。 Thanks for your time.谢谢你的时间。
model = ['a', 'b', 'c']
products = ['x', 'y' 'z']
for i in products:
for j in model:
if j == 'a':
#. training sequence -------> if this fails move to next elif
#. save results
elif j == 'b'
#. training sequence -------> if this fails move to next elif
#. save results
elif j == 'c'
#. training sequence
#. save results
Example for the ZeroDivisionError: ZeroDivisionError 示例:
for i in (2,4):
for j in ('a','b'):
try:
if j=='a':
print(f'a: i={i} result:{1/(2-i)}')
if j=='b':
print(f'b: i={i} result:{1/(4-i)}')
except ZeroDivisionError:
continue
'b' model acts on 2 and 'a' on 4. Output: “b”模型作用于 2,“a”作用于 4。输出:
b: i=2 result:0.5
a: i=4 result:-0.5
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