🚅Description
Benchmarks aim to measure the performance of the library.
- Performance: Processing time, Training time of model, Simpling rate...
- Memory Consumption
- Others, like cache hit rate...
Now we provide a simple benchmark for our CTGAN implementation against the original one. Fit them with a big ramdom dataset, and compare their memory consumptions.
https://github.com/hitsz-ids/synthetic-data-generator/tree/main/benchmarks
🏕Solution(optional)
Add benchmarks for:
- Performance: Processing time, Training time of model, Simpling rate...
🍰Detail(optional)
🍰Example(optional)
🚅Description
Benchmarks aim to measure the performance of the library.
Now we provide a simple benchmark for our CTGAN implementation against the original one. Fit them with a big ramdom dataset, and compare their memory consumptions.
https://github.com/hitsz-ids/synthetic-data-generator/tree/main/benchmarks
🏕Solution(optional)
Add benchmarks for:
🍰Detail(optional)
🍰Example(optional)