automlease 🤖
Automatic Machine Learning for absolute beginners. Train a machine learning model in just 3 lines of Python code!
Installation
pip install automlease
Quick Start
from automlease import AutoML
model = AutoML()
model.fit('your_data.csv', target='target_column')
model.report()
What it does automatically
- ✅ Loads any CSV file
- ✅ Cleans missing values
- ✅ Converts text columns to numbers
- ✅ Detects if task is classification or regression
- ✅ Trains multiple ML models and picks the best one
- ✅ Shows a detailed evaluation report
- ✅ Creates feature importance chart
- ✅ Saves the best model automatically
Example — Heart Disease Prediction
from automlease import AutoML
model = AutoML()
model.fit('heart_disease.csv', target='target')
model.report()
Built With
- pandas
- scikit-learn
- matplotlib
- seaborn
- joblib
- rich
Author
Vikash Singh Rajput BTech Management Graduate — NAIT, Edmonton, Canada GitHub: https://github.com/vickybanna3327-byte
License
MIT License
1 maintainer
Metadata
1 maintainer
Release files for automlease 0.3.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| automlease-0.3.0.tar.gz | 5.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| automlease-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.3 kB
Release files / automlease-0.3.0.tar.gz
| Download URL | automlease-0.3.0.tar.gz |
|---|---|
| Size | 5.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.12.5
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Release files / automlease-0.3.0-py3-none-any.whl
| Download URL | automlease-0.3.0-py3-none-any.whl |
|---|---|
| Size | 5.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.12.5
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Security for automlease 0.3.0
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