NotImplementedError: Conversion for TF op 'Bucketize' not implemented.
- Dominant language
- Python
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Description
## ❓Question
Error encountered while converting the TensorFlow model to CoreML model:
NotImplementedError: Conversion for TF op 'Bucketize' not implemented.
TensorFlow uses the following code for training:
numeric_column = tf. Feature_column. Numeric_column (col)
buket_col = tf. Feature_column. Bucketized_column (numeric_column, boundary_dict [col])
embedding_column = tf.feature_column. Embedding_column (buket_col, K + 1)
How do I skip support for bucketized_column?
## System Information
- If applicable
Contributor guide
Research direction
The report concerns TensorFlow-to-Core ML conversion of the Bucketize operation, but names no repository files, tests, or entry points. Start by locating the conversion handling for TensorFlow operations and reproduce the reported model conversion. Done would require a documented workaround or decided implementation scope for Bucketize support.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100