Improve parallelization: joblib backend, timing, logging#83
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- Migrate run_parallel from multiprocessing.Pool to joblib.Parallel
with 'loky' backend for fork-safety on Python 3.12+
- Add @track_timing decorator to all compute methods — stores
computation_time_seconds in returned dataset .attrs
- Replace LogExceptions with _safe_call using Python standard logging
(logger = logging.getLogger("skexplain"))
- Add _resolve_n_jobs helper following sklearn convention:
n_jobs=-1 (all CPUs), -2 (all but one), 0.5 (fraction)
- Remove deprecated text_progessbar and LogExceptions class
- Fix mutable default kwargs={} in run_parallel signature
- Add structured log messages for parallel task start/completion
Users can enable logging with:
import logging
logging.basicConfig(level=logging.INFO)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Update .readthedocs.yaml: Python 3.11, ubuntu-22.04, pandoc via apt - Remove broken extra_requirements: docs (doesn't exist in setup.py) - Update docs/requirements.txt: loosen sphinx/nbsphinx version pins - Fix setup.py: distutils.version.LooseVersion → packaging.version.Version - Fix setup.py: distutils.sysconfig → sysconfig (Python 3.12 compat) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Users can enable logging with:
import logging logging.basicConfig(level=logging.INFO)