Comments (3)
akashsaravanan-georgian
commented on May 17, 2024
Hi @kondera we'll fix this bug for the next release!
Thanks for the point about the preprocessing. I think that's a very valid point and it definitely makes sense. We'll look into what we can do about this. The pipeline bit is also something in our roadmap so we plan on adding it in at some point.
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Related Issues (20)
- pip error on m1 pro apple.
- pip error on linux
- Make code compatible with newest transformers version
- AttributeError: 'OneHotEncoder' object has no attribute 'get_feature_names'
- Better versioning system HOT 2
- n_gpu in multimodal_exp_args.py
- Standardize output formats to match transformers
- AxisError: axis 1 is out of bounds for array of dimension 1 HOT 3
- TypeError: __init__() got an unexpected keyword argument 'evaluate_during_training' HOT 3
- Inference Error with Text Features Only HOT 7
- Please check the colab notebook HOT 4
- Can numerical feature in table be multidimensional arrays? HOT 2
- XLNet doesn't support the "weighted_feature_sum_on_transformer_cat_and_numerical_feats" combining module
- AttributeError: 'OurTrainingArguments' object has no attribute 'deepspeed_plugin' HOT 5
- Unable to run notebook examples HOT 4
- RuntimeError: Caught RuntimeError in replica 0 on device 0. HOT 2
- Help with inference HOT 2
- Misleading TabularConfig parameter in Example code HOT 1
- Batch Normalization is done even with False BN parameter HOT 3
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