A Python framework for ML workflows(this one is for testing purpose only)
Project description
MyFramework
A Python framework for machine learning workflows, providing tools for data processing, model training, and evaluation.
Features
- Data processing utilities (module1)
- Machine learning tools (module2)
- Common utility functions
- Comprehensive test suite
- Example scripts
Installation
pip install myframework
Quick Start
from myframework.module1 import process_data
from myframework.module2 import train_model, evaluate_model
# Process your data
processed_data = process_data(your_data, normalize=True)
# Train a model
model = train_model(X_train, y_train)
# Evaluate the model
metrics = evaluate_model(model, X_test, y_test)
Documentation
For detailed documentation, see the docs/ directory or visit our documentation site.
Examples
Check out the examples/ directory for usage examples:
python examples/example1.py
Development
- Clone the repository
- Install development dependencies:
pip install -r requirements.txt
- Run tests:
pytest
License
This project is licensed under the MIT License - see the LICENSE file for details.
Project details
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