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the 5th cell in train_model.ipynb is overriding the injected values. remove it and it'll work. I think what happened is that you used

ploomber scaffold

, then set

extract_upstream

to false and then somehow the parameters cell ended up being an empty cell, and the one that ploomber adds by default (the one with

upstream =None

) ended up below it. but please share the steps you followed so we can capture this error and alert future users 🙂 thanks for your feedback!

thanks for your help @Eduardo. I removed the

upstream = None

cell that was overriding the injected values

nice. is it working now?

But I'm not able to get PyCaret working in the same notebook even though I have imported the required modules whereas if I run the pycaret code standalone in another notebook it works well

what error are you seeing?

I get a

Name Error : fold_shuffle is not defined

error

do you have the full error?

here is the complete error

i looked at your notebook, you are calling a setup function (im guessing this is from pycaret) and passing a fold_shuffle variable, but the variable isn't defined anywhere

yes that was indeed the issue. I forgot to declare

fold_shuffle

and

fold

parameters in my yaml file! Now everything works including the ML Flow logging 🙂

Nice!

I love how Ploomber integrates with mlflow. Definitely going to use Ploomber for my projects from now on. Thanks for your help!

Thanks for using Ploomber! Don't hesitate to ask any other questions! Can I share your project on our socials? Also if you have a Twitter account, I can tag you

yes definitely, There is a bigger project I want to implement ploomber to, it will take me a couple of days to set it up on my project, I'll let you know once that's done!

amazing, looking forward!