Comments (1)
One instance of this mismatch: in remote_exec()
we take config
but in start_host()
we take params
.
- Both should probably be
params
from mlos.
Related Issues (20)
- Quantized tunables missing check for quantization alignment in `is_valid` check.
- Config support for pluggable Schedulers
- Tests for Scheduler classes
- Clean up the traces and other temp files after running remote commands on Azure VMs
- Increment iteration counter in `.suggest()` instead of `.register()`
- Document "known" variables in mlos_bench
- Revamp number of iterations vs. number of configs tracking HOT 1
- Get rid of deprecated functions like `datetime.utcnow()`
- mlos_bench: parameter constraints HOT 9
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- Implement `TrialData.objectives` accessor HOT 1
- mlos_bench_service HOT 2
- Capture VM metadata
- Security: Azure switch to Managed Identities HOT 2
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- Allow user to specify "context" metrics to pass to the optimizer
- Consider dropping support for python 3.8 and/or 3.9
- mlos_bench.storage APIs: extend support to retrieve the full set of metric IDs for an experiment
- Allow Environment configs to report the metrics they expose
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from mlos.