Environment Details
Error Description
benchmark_single_table() returns result rows filled with NaN for custom/variant synthesizers when timeout is set. If timeout is not provided, the benchmark runs properly and we get results and scores for the custom/variant synthesizer.
Custom/variant synthesizers should execute normally even when timeout is provided.
Steps to reproduce
from sdgym import benchmark_single_table
from sdgym import create_synthesizer_variant
gc_variant = create_synthesizer_variant(
synthesizer_class='GaussianCopulaSynthesizer',
synthesizer_parameters={'enforce_min_max_values': False},
display_name='GC_Variant'
)
results_variant = benchmark_single_table(
synthesizers=['GaussianCopulaSynthesizer'],
custom_synthesizers = [gc_variant],
sdv_datasets=['fake_companies'],
timeout=10
)
Additional context
We should make sure the fix also works for benchmark_multi_table
Environment Details
Error Description
benchmark_single_table()returns result rows filled with NaN for custom/variant synthesizers when timeout is set. Iftimeoutis not provided, the benchmark runs properly and we get results and scores for the custom/variant synthesizer.Custom/variant synthesizers should execute normally even when
timeoutis provided.Steps to reproduce
Additional context
We should make sure the fix also works for
benchmark_multi_table