@@petchiparamasivam6859 Ok.. so when you create the training pipeline, which folder did you indicate as the dataset? In the dataset, did you select the Export folder? or a different folder? Also one more thing, in the pipeline logs, scroll down to see if there are any other additional details about the error that you can find.. It should tell you what caused the failure there..
@@priyankasingh-ik5ux Ok.. so when you create the training pipeline, which folder did you indicate as the dataset? In the dataset, did you select the Export folder? or a different folder? Also one more thing, in the pipeline logs, scroll down to see if there are any other additional details about the error that you can find.. It should tell you what caused the failure there..
Hey Lahiru, I have a horizontal table to capture. should I capture them as regular fields ? I see create column fields that I use for vertical table. But I don't see create row fields (for horizontal table). please explain
Hey.. im so sorry I missed this. Do you still have the issue? I did not quite understand the exact requirement Understand that you have a horizontal table.. Can you show me one sample so I have a better idea?
Hi Lahiru, I trained a ML model on some pdf invoices and created some custom labels also in data manager/document manager. and then export it with ''All labels" option. i created the pipeline and after this I also upgraded the version too. but issue is this , when i am using it in uipath studio DU , in Machine learning extractor, ... I am not able to find out new labels which i created in data manager. it's only showing the pre available labels in configure which i used, not those which i created. ANy idea what i am doing wrong ? please
HI Shankra, Seems like the AI Center part got completed without any issue. So it looks like you haven't taken the latest capabilities into the workflow. What you can do is: in the ML Extractor, click on the configure button. There you will have a Get Capabilities button where you can retrieve the latest capabilities of your trained model. Have you tried this option? You can access the configuration option in Extractor Scope -> configure extractors -> and click on the Settings button of the extractor (located right blow the name) Let me know if this doesn't work for you..
Hello Lahiru, thank you so much for sharing the video. I followed the similar steps but while training for the pipeline, i got the following error: "ImportError: cannot import name 'BaseResponse' from 'werkzeug.wrappers' (/home/aicenter/.local/lib/python3.9/site-packages/werkzeug/wrappers/__init__.py)" Can you please help me out?
Hi Sawmya, At which stage did you get this error? During the training pipeline execution? Along with this issue, in the AI Center logs, do you see any other logs that relate to the error?
Hello Nirmal, Does it stay in the Waiting for Resources status for a very long time? If that's the case, check whether you have enough AI licenses to run the pipeline. Per pipeline, it should have at least 1 AI licenses available (not utilized by models). Let me know if this doesn't work.. We could try to figure out together..
Hello Iamraj, In this case, the best is to split the PDf file into multiple PDF files so each file contain a single document. Now use the split files you created and do the training on those.. Hope this helps
@@LahiruFernando Thanks for the quick response Lahiru. Once training completed If we feed the file which contains multiple invoice model could extract both the invoices?
@@iamraj9419 Hi.. Yes.. in a normal run, if you feed multiple invoices it will automatically pick it up. Just make sure you have a classification activity in the workflow and that would do the job :)
Hi Lahiru, thanks a lot for such a useful video, you saved my lot of time!!!... I have pdf files with multiple pages and each page is having different values. I can see in the video, Backwards-compatible export option in Document Understanding, how can we use that for multiple page extraction?
Hi Lahiru , Thanks a lot for the teachings , just one doubt that if i am training a multi page PDF single invoice and the data of 1st page - last line is half on the same page and half on the next page , so it does not put in the same line, putting half in the next line , can you share your view, how to deal with this problem
Hey Vinay.. I'm not sure how I missed your comment.. Sorry for the late reply.. Yes.. I have come across this too.. What i did is, I got more samples on similar invoices, so that I can train the model to extract data from the two pages. Another option is, if you see these kinda variations a lot, probably also introduce a Form Extractor as a supporting extraction for the ML extractor.. So that in case ML fails, the other one can still extract the data. You can of course send this data back for retraining as well..
Hi Lahiru, I created a custom model in AI Center and everything seems to working fine. But when i added some more fields to the existing model and did the labelling and export and created the pipeline which was also successful. But when I'm trying to update the ML Skill, it is getting failed with message MLPackage v#22.10.1 Deployment Failed. Kubernetes operation failed to create deployment Remittance_Skill.
Hey bro.. Yes, This is a problem on UiPath side. This started coming yesterday or day before. We have informed UiPath and they are fixing it. It should be resolved soon.. Keep trying time to time brother..
@@hemantbonde6348 Hi, I'm actually on vacation bro. I didn't get a chance to check it. Can you create a support ticket if it is not working for you? Ideally it should be fixed by now because it was affecting all environments including enterprise
Hey.. yep.. the schema is the one that tells the model that these are the fields that it needs to train on and its data types. So schema is always important and one of the initial things that we set up during custom model creation.
@@yashobantadash6670 Yeah bro.. Im doing good.. I was a bit not well, and was travelling.. so was away for couple of days. But now Im back full time.. :)
Hi lahiru, Thanks for sharing the knowledge. Have few questions: 1. Is it compulsory to upload mininum 10 documents while initial training? 2. If yes, Out of 10, Can we upload few same type of invoices(having different values) or all the invoices should be of different types?
Hi Hemant, Thank you so much for your thoughts.. Here are my answers for your questions.. 1. Yes.. it is compulsory to have minimum 10 unique documents for the initial training on Data Manager. Else, it will not do the export for the training. 2. Yea. When we say 10 unique documents, it doesn't need to be of different layouts altogether. Basically what it is looking for is unique values for all the fields. For example, let's say you have 10 documents and you want to extract one field. So, basically, it needs to have 10 unique values for the field to meet the minimum requirement. While you upload the documents to Data Manager, it will check for duplicates. In case you have the same document multiple times, it will not consider those. So, you can have documents with different values, and layouts.. (mainly the text on the doc has to be different) Also one more thing: While you do the training in the Training Pipeline configuration, always select the MINIMUM VERSION as 0 as a best practice.
Hi Lahiru, I'm getting the following error while creating the Pipeline. Exception: Document type default not valid, check that document type data is in dataset folder and follows folder structure. Please guide to create the pipeline successfully
Hello @@hemantbonde6348 Sure. You get this error when you point to a different folder other than the one that you exported from Data Manager. That's why it says the folder has a different structure that what it expects. So in the training pipeline creation, click on the dataset, and navigate to the proper folder until you see the export folder with the name that you gave during Export on Data Manager. Select that folder and try.. it should work :) Also make sure to select the Minor Version as ×0
Hello Lehiru,
getting error "Pipeline failed due to ML Package Issue" but schema got created and split file also got created.
Hello,
Sorry for my late reply. I was in Goa for the MVP meet.
Did you also do the data export from Data Manager before running the training pipeline?
@@LahiruFernando thanks for replying. yes lehiru did the same.
@@LahiruFernando I am also facing the same issue. Can you please help .
@@petchiparamasivam6859 Ok.. so when you create the training pipeline, which folder did you indicate as the dataset? In the dataset, did you select the Export folder? or a different folder?
Also one more thing, in the pipeline logs, scroll down to see if there are any other additional details about the error that you can find.. It should tell you what caused the failure there..
@@priyankasingh-ik5ux Ok.. so when you create the training pipeline, which folder did you indicate as the dataset? In the dataset, did you select the Export folder? or a different folder?
Also one more thing, in the pipeline logs, scroll down to see if there are any other additional details about the error that you can find.. It should tell you what caused the failure there..
Hey Lahiru,
I have a horizontal table to capture. should I capture them as regular fields ? I see create column fields that I use for vertical table. But I don't see create row fields (for horizontal table). please explain
Hey.. im so sorry I missed this. Do you still have the issue?
I did not quite understand the exact requirement
Understand that you have a horizontal table.. Can you show me one sample so I have a better idea?
Hi Lahiru,
I trained a ML model on some pdf invoices and created some custom labels also in data manager/document manager.
and then export it with ''All labels" option. i created the pipeline and after this I also upgraded the version too.
but issue is this , when i am using it in uipath studio DU , in Machine learning extractor, ... I am not able to find out new labels which i created in data manager. it's only showing the pre available labels in configure which i used, not those which i created.
ANy idea what i am doing wrong ? please
HI Shankra,
Seems like the AI Center part got completed without any issue. So it looks like you haven't taken the latest capabilities into the workflow.
What you can do is: in the ML Extractor, click on the configure button. There you will have a Get Capabilities button where you can retrieve the latest capabilities of your trained model. Have you tried this option?
You can access the configuration option in Extractor Scope -> configure extractors -> and click on the Settings button of the extractor (located right blow the name)
Let me know if this doesn't work for you..
@@LahiruFernando Thanks, I missed that part. Thanks for your response.
@@LahiruFernando great bro! i had the same problem. thankss a lot!
Hello Lahiru, thank you so much for sharing the video.
I followed the similar steps but while training for the pipeline, i got the following error:
"ImportError: cannot import name 'BaseResponse' from 'werkzeug.wrappers' (/home/aicenter/.local/lib/python3.9/site-packages/werkzeug/wrappers/__init__.py)"
Can you please help me out?
Hi Sawmya,
At which stage did you get this error? During the training pipeline execution? Along with this issue, in the AI Center logs, do you see any other logs that relate to the error?
Hi Lahiru,
Thanks for the good session.While creating new pipeline it's showing status as Waiting for resources?
Hello Nirmal, Does it stay in the Waiting for Resources status for a very long time? If that's the case, check whether you have enough AI licenses to run the pipeline. Per pipeline, it should have at least 1 AI licenses available (not utilized by models).
Let me know if this doesn't work.. We could try to figure out together..
Hi Lahiru, for evaluation run do we have to import batch of invocies, mark the fields to extract and export same as we did for training run?
Hi Thanu,
Yes you have to do the same thing just like you do for training. Once you export, in the pipeline creation, just use the evaluation option
Hi lahiru,
I have multiple invoices in a single PDF file how to train the model in this case
Hello Iamraj,
In this case, the best is to split the PDf file into multiple PDF files so each file contain a single document. Now use the split files you created and do the training on those..
Hope this helps
@@LahiruFernando Thanks for the quick response Lahiru.
Once training completed If we feed the file which contains multiple invoice model could extract both the invoices?
@@iamraj9419 Hi.. Yes.. in a normal run, if you feed multiple invoices it will automatically pick it up. Just make sure you have a classification activity in the workflow and that would do the job :)
Hi Lahiru, thanks a lot for such a useful video, you saved my lot of time!!!... I have pdf files with multiple pages and each page is having different values. I can see in the video, Backwards-compatible export option in Document Understanding, how can we use that for multiple page extraction?
Hi Lahiru
Can you show us how to extract bank statements out of image files?
Hi Lahiru , Thanks a lot for the teachings , just one doubt that if i am training a multi page PDF single invoice and the data of 1st page - last line is half on the same page and half on the next page , so it does not put in the same line, putting half in the next line , can you share your view, how to deal with this problem
Hey Vinay.. I'm not sure how I missed your comment.. Sorry for the late reply..
Yes.. I have come across this too.. What i did is, I got more samples on similar invoices, so that I can train the model to extract data from the two pages. Another option is, if you see these kinda variations a lot, probably also introduce a Form Extractor as a supporting extraction for the ML extractor.. So that in case ML fails, the other one can still extract the data.
You can of course send this data back for retraining as well..
@@LahiruFernando Thanks
You did huge help
best ever videos on ml!! great job bro!!
Thanks a lot bro!!
Hi Lahiru, I created a custom model in AI Center and everything seems to working fine. But when i added some more fields to the existing model and did the labelling and export and created the pipeline which was also successful. But when I'm trying to update the ML Skill, it is getting failed with message MLPackage v#22.10.1 Deployment Failed. Kubernetes operation failed to create deployment Remittance_Skill.
Hey bro..
Yes, This is a problem on UiPath side. This started coming yesterday or day before. We have informed UiPath and they are fixing it. It should be resolved soon.. Keep trying time to time brother..
@@LahiruFernando Thank you for your prompt reply. Could you please let me know once this issue gets resolved and you get any update from UiPath
@@hemantbonde6348 yes sure.. I can do that
@@LahiruFernando It seems that this issue is still not resolved. Do you have any update?
@@hemantbonde6348 Hi,
I'm actually on vacation bro. I didn't get a chance to check it. Can you create a support ticket if it is not working for you? Ideally it should be fixed by now because it was affecting all environments including enterprise
is it a must to add predefined schema when training model?
Hey.. yep.. the schema is the one that tells the model that these are the fields that it needs to train on and its data types. So schema is always important and one of the initial things that we set up during custom model creation.
@@LahiruFernando thanks a lot bro! how are you? listened from you after a long time!
@@yashobantadash6670 Yeah bro.. Im doing good.. I was a bit not well, and was travelling.. so was away for couple of days. But now Im back full time.. :)
Hi lahiru, Thanks for sharing the knowledge.
Have few questions:
1. Is it compulsory to upload mininum 10 documents while initial training?
2. If yes, Out of 10, Can we upload few same type of invoices(having different values) or all the invoices should be of different types?
Hi Hemant,
Thank you so much for your thoughts..
Here are my answers for your questions..
1. Yes.. it is compulsory to have minimum 10 unique documents for the initial training on Data Manager. Else, it will not do the export for the training.
2. Yea. When we say 10 unique documents, it doesn't need to be of different layouts altogether. Basically what it is looking for is unique values for all the fields.
For example, let's say you have 10 documents and you want to extract one field. So, basically, it needs to have 10 unique values for the field to meet the minimum requirement.
While you upload the documents to Data Manager, it will check for duplicates. In case you have the same document multiple times, it will not consider those. So, you can have documents with different values, and layouts.. (mainly the text on the doc has to be different)
Also one more thing: While you do the training in the Training Pipeline configuration, always select the MINIMUM VERSION as 0 as a best practice.
@@LahiruFernando Thanks a lot. It is really helpful.
Hi Lahiru,
I'm getting the following error while creating the Pipeline.
Exception: Document type default not valid, check that document type data is in dataset folder and follows folder structure.
Please guide to create the pipeline successfully
Hello @@hemantbonde6348
Sure. You get this error when you point to a different folder other than the one that you exported from Data Manager.
That's why it says the folder has a different structure that what it expects.
So in the training pipeline creation, click on the dataset, and navigate to the proper folder until you see the export folder with the name that you gave during Export on Data Manager. Select that folder and try.. it should work :)
Also make sure to select the Minor Version as ×0
@@LahiruFernando Thank you. It worked !!