Comments (2)
Ultimately, we should make sure that the benchmarking script is fault-tolerant. If an individual piece of code doesn't run, it should catch the error and report a NaN
in the final results. See docs for desired behavior.
Note that there are several related issues to this dataset & metric combo (not direct causes):
- SDV 1375: The metadata for
expedia_hotel_logs
doesn't accurately reflect the data - SDMetrics 337: The metric is trying to convert this into a number instead of a datetime
from sdgym.
As mentioned in #219, the SDGym benchmarking script is already fault-tolerant, so no changes need to be made in SDGym.
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Related Issues (20)
- PrivBayes HOT 2
- Add functions to top level import
- Remove pomegranate
- limit_dataset_size causes sdgym to crash
- benchmark_single_table crashes with metadata dict
- Passing None as synthesizers runs all of them HOT 2
- timeout parameter causes sdgym to crash
- Can't download datasets if `.aws` config is present
- ImportError: cannot import name 'Metadata' from 'sdv' HOT 2
- (Known issue, workaround provided) Problems with importing SDGym HOT 1
- The `UniformSynthesizer` should follow the sdtypes in metadata (not the data's dtypes)
- The `IndependentSynthesizer` should follow the sdtypes in the metadata (not the data's dtypes)
- Add support for Python 3.11
- Remove anyio usage
- load_dataset fails for HOT 4
- Drop support for Python 3.7
- Switch default branch from master to main HOT 1
- Binary Classification metric fails with unknown category (`ValueError`) HOT 2
- Add ability to load and inspect individual datasets HOT 1
- Dockerfile error HOT 1
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