https://github.com/rmodi6/perceptron
Perceptron learning algorithm implemented in Python
https://github.com/rmodi6/perceptron
cross-validation empirical-risk-minimization machine-learning perceptron-learning-algorithm python38
Last synced: 8 months ago
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Perceptron learning algorithm implemented in Python
- Host: GitHub
- URL: https://github.com/rmodi6/perceptron
- Owner: rmodi6
- License: mit
- Created: 2020-03-04T22:31:10.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-03-24T01:56:47.000Z (over 5 years ago)
- Last Synced: 2025-01-11T08:08:58.008Z (10 months ago)
- Topics: cross-validation, empirical-risk-minimization, machine-learning, perceptron-learning-algorithm, python38
- Language: Jupyter Notebook
- Homepage:
- Size: 33.2 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Perceptron
# Adaptive Boosting
The path to dataset can be provided using the `dataset` parameter and `mode` parameter can be used to specify the mode in which to execute perceptron. There are two modes available: `erm` for Empirical Risk Minimization and `cv` for 10 fold Cross Validation. For example:
```bash
python perceptron.py --dataset 'path/to/dataset' --mode erm
```