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The fixed-length features in TFRecord support configuration with default values(https://www.tensorflow.org/api_docs/python/tf/io/FixedLenFeature), but currently, Parquet does not support this feature. If encountering a non-existent feature, an error will be thrown, such as 'No Column called xx found in yy'.
So when we transition from training with TFRecord to Parquet, there may be some functionality alignment issues. We hope that Parquet can also support configuration with default values.
The text was updated successfully, but these errors were encountered:
User Story
The fixed-length features in TFRecord support configuration with default values(https://www.tensorflow.org/api_docs/python/tf/io/FixedLenFeature), but currently, Parquet does not support this feature. If encountering a non-existent feature, an error will be thrown, such as 'No Column called xx found in yy'.
So when we transition from training with TFRecord to Parquet, there may be some functionality alignment issues. We hope that Parquet can also support configuration with default values.
The text was updated successfully, but these errors were encountered: