embeddedML
embeddedML is an optimized and lightweight machine learning library designed specifically for embedded systems (such as Raspberry Pi, Jetson Nano, Orange Pi, etc.).
This library implements core ML algorithms with minimal dependencies, making it suitable for resource-constrained environments.
🚀 Features
- ✔️ Support for classic machine learning algorithms:
- SVM (Support Vector Machines)
- KNN (K-Nearest Neighbors)
- Naive Bayes
- Logistic Regression
- Simple & Multiple Linear Regression
- Polynomial Regression
- K-Means Clustering
- PCA
- 📊 Evaluation Metrics included (Accuracy, Precision, Recall, etc.)
- 🧹 Preprocessing utilities
- 🪶 Lightweight and fast
📦 Installation
Install the package via pip:
pip install embeddedML
1 maintainer
Metadata
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Release files for makine-ogrenimi-kutuphane 0.1.5
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| File | Size | Uploaded | Provenance | |
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| makine_ogrenimi_kutuphane-0.1.5.tar.gz | 10.4 kB | Without provenance | Details |
Built distribution (wheel)
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| makine_ogrenimi_kutuphane-0.1.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.8 kB
Release files / makine_ogrenimi_kutuphane-0.1.5.tar.gz
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Release files / makine_ogrenimi_kutuphane-0.1.5-py3-none-any.whl
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