Comments (6)
from practical-deep-learning-for-coders-2.0.
here are what I think the relevant libraries i have in this environment are:
fastai 2.1.5
fastcore 1.3.6
fast_tabnet 0.2.0
pytorch-tabnet 2.0.1
fastinference 0.0.30
pytorch 1.7.0
also my model is setup to solve for single-variable regression
from practical-deep-learning-for-coders-2.0.
from practical-deep-learning-for-coders-2.0.
Got it thanks!
from practical-deep-learning-for-coders-2.0.
from practical-deep-learning-for-coders-2.0.
Got it working with your pinned versions and the new verions of fastai/torch. If you have any notes or outline for how you might approach fixing it for the new versions I'd love to get involved with contributing. Understand you are probably busy so it's a standing offer for later if necessary!
from practical-deep-learning-for-coders-2.0.
Related Issues (20)
- default path is a hidden folder HOT 1
- emb_drop is not a parameter of tabular_learner HOT 3
- Changing header columns in df gives error while forming lm dataloader HOT 2
- 04_TabNet run error HOT 2
- Tabular 01 Adults will not open HOT 1
- ClassConfusion won't install in Google Colab HOT 8
- Optimization for bigger dataset while using HOT 1
- issue with CropSignal in Audio notebook HOT 4
- TypeError: object of type 'int' has no len() HOT 1
- learn.validate(dl=dl) throws 'DataFrame' object has no attribute 'with_cont' HOT 14
- Much time for ShapInterpretation HOT 2
- 'function' object has no attribute 'sizes'
- one hot for new data : what to do if new unseen in training data set categories are located in test data HOT 1
- unet_config has been replaced by create_unet_model
- Notebook on Efficientnet runs into error on Colab HOT 3
- Learn.sumary() error in 06-Object_detection.ipynb notebook HOT 5
- Hello there
- Lesson 3 - Cross-Validation for loop typo
- small mistake in "2_Regression_and_Permutation_Importance.ipynb" and lesson 2 of walkwithfastai
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from practical-deep-learning-for-coders-2.0.