https://github.com/humancompatibleai/logical-active-classification
Use active learning to classify data represented as boundaries of regions in parameter space where a parametrised logical formula holds.
https://github.com/humancompatibleai/logical-active-classification
Last synced: 11 months ago
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Use active learning to classify data represented as boundaries of regions in parameter space where a parametrised logical formula holds.
- Host: GitHub
- URL: https://github.com/humancompatibleai/logical-active-classification
- Owner: HumanCompatibleAI
- Created: 2018-03-06T18:29:51.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2019-03-13T02:28:36.000Z (about 7 years ago)
- Last Synced: 2025-05-30T03:40:20.339Z (about 1 year ago)
- Language: Python
- Homepage:
- Size: 67.4 KB
- Stars: 1
- Watchers: 3
- Forks: 1
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# logical-active-classification
## Installation
In order to use this code, you first need to install two other projects: [multidim-threshold](https://github.com/mvcisback/multidim-threshold), and [py-stl](https://github.com/mvcisback/py-stl). This involves downloading the folders multidim-threshold and py-stl from these repositories respectively, and putting them in the same directory as the code from this repository.
## Running
To run the code, first open the file `active_learning_2d.py`, and in the imports section, uncomment the oracle that you would like to use. Then in your terminal, run `python3 active_learning_2d.py`.