A temporal dependency occurs when developers change two or more files at the same time (i.e. they are a part of the same commit).
Pairs | # same commits | # commits 1 | # commits 2 | latest commit |
---|---|---|---|---|
syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/issm.py syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/freeze_thaw.py |
4 | 7 (57%) | 5 (80%) | 2022-01-24 |
syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/posterior_state.py syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/freeze_thaw.py |
4 | 6 (66%) | 5 (80%) | 2022-01-24 |
syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/posterior_state.py syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/issm.py |
4 | 6 (66%) | 7 (57%) | 2022-01-24 |
syne_tune/optimizer/schedulers/searchers/gp_searcher_factory.py syne_tune/optimizer/schedulers/searchers/bayesopt/models/gpiss_model.py |
4 | 10 (40%) | 6 (66%) | 2022-01-24 |
syne_tune/optimizer/schedulers/searchers/gp_searcher_factory.py syne_tune/optimizer/schedulers/searchers/gp_fifo_searcher.py |
4 | 10 (40%) | 13 (30%) | 2022-01-21 |
benchmarking/cli/scheduler_factory.py benchmarking/cli/launch_hpo.py |
3 | 3 (100%) | 5 (60%) | 2022-01-28 |
benchmarking/nursery/lstm_wikitext2/definition_lstm_wikitext2.py benchmarking/cli/launch_hpo.py |
3 | 4 (75%) | 5 (60%) | 2022-01-28 |
benchmarking/nursery/lstm_wikitext2/definition_lstm_wikitext2.py benchmarking/cli/scheduler_factory.py |
3 | 4 (75%) | 3 (100%) | 2022-01-28 |
benchmarking/definitions/definition_resnet_cifar10.py benchmarking/nursery/lstm_wikitext2/definition_lstm_wikitext2.py |
3 | 3 (100%) | 4 (75%) | 2022-01-27 |
syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/likelihood.py syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/freeze_thaw.py |
3 | 5 (60%) | 5 (60%) | 2022-01-24 |
syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/likelihood.py syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/issm.py |
3 | 5 (60%) | 7 (42%) | 2022-01-24 |
syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/posterior_state.py syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/likelihood.py |
3 | 6 (50%) | 5 (60%) | 2022-01-24 |
syne_tune/optimizer/schedulers/searchers/bayesopt/models/gpiss_model.py syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/freeze_thaw.py |
3 | 6 (50%) | 5 (60%) | 2022-01-24 |
syne_tune/optimizer/schedulers/searchers/bayesopt/models/gpiss_model.py syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/issm.py |
3 | 6 (50%) | 7 (42%) | 2022-01-24 |
syne_tune/optimizer/schedulers/searchers/bayesopt/models/gpiss_model.py syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/posterior_state.py |
3 | 6 (50%) | 6 (50%) | 2022-01-24 |
syne_tune/optimizer/schedulers/searchers/gp_searcher_factory.py syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/freeze_thaw.py |
3 | 10 (30%) | 5 (60%) | 2022-01-24 |
syne_tune/optimizer/schedulers/searchers/gp_searcher_factory.py syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/issm.py |
3 | 10 (30%) | 7 (42%) | 2022-01-24 |
syne_tune/optimizer/schedulers/searchers/gp_searcher_factory.py syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/posterior_state.py |
3 | 10 (30%) | 6 (50%) | 2022-01-24 |
syne_tune/optimizer/schedulers/searchers/gp_multifidelity_searcher.py syne_tune/optimizer/schedulers/searchers/bayesopt/gpautograd/learncurve/issm.py |
3 | 7 (42%) | 7 (42%) | 2022-01-21 |
syne_tune/optimizer/schedulers/searchers/gp_multifidelity_searcher.py syne_tune/optimizer/schedulers/searchers/gp_searcher_factory.py |
3 | 7 (42%) | 10 (30%) | 2022-01-21 |