Comments (1)
this is fixed - and we've updated our build process to fail PR's that have broken links like this in notebooks
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Related Issues (20)
- [BUG] Saving workflows with Categorify or TargetEncoding fails to write stats files HOT 2
- [BUG] TargetEncoding with multiple target columns makes targets to be switches
- [BUG] TargetEncoding requires the target columns to exist in a dataset in transform() HOT 1
- [BUG] `Groupby` ags output columns (even if they are counts) as `Tags.CATEGORICAL` HOT 6
- [BUG] Throw warning if reserved column is used
- [REA] How to remove tags? HOT 4
- [QST] Why does nvt.ops.Categorify in 23.06 add 3 to the cardinality of a dataset's column? HOT 2
- [BUG] `Catetegorify` can't process `vocabs` correctly when `num_buckets>1` HOT 1
- How I Can Apply Inverse Transform HOT 4
- [BUG] Exception: "IndexError('list index out of range')" HOT 3
- [QST] How to omit the `Dataset.shuffle_by_keys` step when exporting data from BigQuery to parquet HOT 9
- [QST] Additional GPU mem reservation when creating a `Dataset` causes OOM when allocating all GPU mem to the LocalCUDACluster HOT 3
- [BUG] ops.Categorify frequency hashing raises RuntimeError when the dataset is shuffled by keys
- Index error with Categorify on transform step for columns with 100% NaNs
- [QST] Is it possible to extract indices and continuous features rules from NVTabular workflow? HOT 2
- [QST] TypeError: unhashable type: 'numpy.ndarray' HOT 4
- [BUG] IndexError: list index out of range HOT 3
- [BUG] Reading parquet dataset on GPU throws "cudf engine doesn't support the following keyword arguments: ['strings_to_categorical']" error HOT 2
- [BUG] Add "upper pinning" for dependencies
- [BUG] Distributed Training With (NVTabular + Pytorch DDP), I got this error: `RuntimeError: parallel_for: failed to synchronize: cudaErrorIllegalAddress: an illegal memory access was encountered` HOT 1
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