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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

  1. Clone the repository
  2. Install development dependencies:
    pip install -r requirements.txt
    
  3. Run tests:
    pytest
    

License

This project is licensed under the MIT License - see the LICENSE file for details.

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