I passed the predict model but the subsequent example for a different sentence fails

[Deepti_Prasad]

Can I get a hint on how to correct this, I have followed all the instructions as per assignment. @arvyzukai

I passed the predict test cell too but when it came to applying on another sentence it fails because of index error.

So I did correct with applying range and len(), yet I am getting the same mistake. Can anyone point on the mistake.

My assignment’s submission grader output

Thank you in advance

Regards
DP

[arvyzukai]

Hi @Deepti_Prasad

Your mistake is that you loop over range(len(outputs)) which would be just 0,1,2,…,n.

outputs in this case contains the tag indices, so you don’t need the range(len()).

Cheers

[Deepti_Prasad]

are you stating I need to use only outputs??

[arvyzukai]

Yes, outputs contain predicted tag indices, like 35, 2, 21, … etc.

You could also make your implementation work but with labels[outputs[tag_idx]] (instead of labels[tag_idx]) but that would not be a good practice.

[Deepti_Prasad]

Thank you solved.

[Deepti_Prasad]

Why this would not be a good practice?

[arvyzukai]

Let’s take an example to illustrate.

Let’s pretend we have a list a_list = [15, 2, 18, 2]

If we want to get each value of this list (for example, for printing), in Python we would need only:

for item_in_list in a_list:
    print(item_in_list)

We could also achieve that with:

for i in range(len(a_list)):
    print(a_list[i])

But that unnecessary creates an iterator for the index (0,1,2,3) which we don’t really need.