Added progress plot option to single climber #7
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Pull Request Overview
This PR adds a progress plotting feature for single-process hill climbing optimizations. Users can now specify a plot_progress parameter to automatically generate and display scatter plots at regular intervals during long-running optimizations.
- Adds
plot_progressparameter toHillClimber.__init__()for periodic plotting - Implements
plot_progress_check()method with Jupyter notebook support - Updates version to 0.1.8 across all relevant files
Reviewed Changes
Copilot reviewed 9 out of 9 changed files in this pull request and generated 2 comments.
Show a summary per file
| File | Description |
|---|---|
| pyproject.toml | Version bump to 0.1.8 |
| hill_climber/init.py | Version bump to 0.1.8 |
| hill_climber/optimizer.py | Adds plot_progress parameter, implements plot_progress_check() method, integrates plotting into climb() method, passes None to parallel workers to disable plotting |
| docs/source/user_guide.rst | Documents plot_progress parameter with usage notes and limitations |
| docs/source/quickstart.rst | Adds monitoring progress section with example code |
| docs/source/installation.rst | Relocates and updates installation verification example |
| docs/source/conf.py | Version bump to 0.1.8 |
| docs/source/advanced.rst | Adds comprehensive progress monitoring section with use cases and notes |
| CITATION.cff | Version bump to 0.1.8 |
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Pull Request Overview
Copilot reviewed 9 out of 9 changed files in this pull request and generated 1 comment.
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Pull Request Overview
Copilot reviewed 9 out of 9 changed files in this pull request and generated 2 comments.
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Pull Request Overview
Copilot reviewed 9 out of 9 changed files in this pull request and generated 1 comment.
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