Impositor Model

This is a POC and educational propose project. This code execute a gaussian mixture classificator with Iris Dataset.

. Download dependecies with pip: pip install -r requirements.txt

. Run main file: python main.py

. Params from CLI . Change number of gaussians from CLI (magic number in code: 3) . Change output data from options

Name		Name	Last commit message	Last commit date
Latest commit History 29 Commits
data		data
.gitignore		.gitignore
Experiments.ipynb		Experiments.ipynb
GMM.py		GMM.py
GMM_Sanderson_Tutorial.ipynb		GMM_Sanderson_Tutorial.ipynb
README.md		README.md
comparator.py		comparator.py
cross_validation.py		cross_validation.py
gaussian.py		gaussian.py
kmeans.py		kmeans.py
main.py		main.py
main_voice.py		main_voice.py
requirements.txt		requirements.txt

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