LSSTDESC / RESSPECT

The RESSPECT project is a result from an inter-collaboration agreement established between the Cosmostatistics Initiative (COIN) and the LSST Dark Energy Science Collaboration (DESC) with the goal of developing a recommendation system for telescope resource allocation able to optimize photometric supernova cosmology anaylsis.
MIT License
1 stars 0 forks source link

Add memory benchmarks #38

Closed jeremykubica closed 1 month ago

jeremykubica commented 1 month ago

Add a pair of memory benchmarks for the learning loop (one using RandomForest and one for KNN)

github-actions[bot] commented 1 month ago
Before [06c1a25d] After [ca07729f] Ratio Benchmark (Parameter)
failed failed n/a benchmarks.peakmem_learn_loop('KNN')
failed failed n/a benchmarks.peakmem_learn_loop('RandomForest')
138±0.6ms 137±2ms 1.00 benchmarks.time_feature_creation
2.66±0.01s 2.67±0.01s 1.00 benchmarks.time_learn_loop('RandomForest', 'RandomSampling')
2.65±0.01s 2.66±0.02s 1.00 benchmarks.time_learn_loop('RandomForest', 'UncSampling')
174±3ms 172±2ms 0.99 benchmarks.time_learn_loop('KNN', 'RandomSampling')
176±0.8ms 173±2ms 0.98 benchmarks.time_learn_loop('KNN', 'UncSampling')

Click here to view all benchmarks.