pocket-ml 0.1.1

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pocket_ml

A lightweight and user-friendly machine learning library designed to simplify ML workflows.

Features

• Simple and intuitive API for common ML tasks
• Automated data preprocessing
• Easy model training and evaluation
• Built-in visualization tools
• Comprehensive documentation and examples

Installation

pip install pocket_ml

Quick Start

from pocket_ml.model import Classifier
from pocket_ml.preprocessing import DataPreprocessor

# Prepare your data
preprocessor = DataPreprocessor()
X_processed = preprocessor.fit_transform(X)

# Train a model
model = Classifier('random_forest')
model.fit(X_processed, y)

# Make predictions
predictions = model.predict(new_data)

Documentation

For detailed documentation and examples, visit our documentation page.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

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