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A flexible framework for machine learning pipelines

Project description

Framework3

Framework3 is an innovative platform designed to simplify and accelerate the development of machine learning models. It provides data scientists and machine learning engineers with a flexible and powerful tool to create, experiment with, and deploy models efficiently and in a structured manner. https://manucouto1.github.io/framework3

Key Features

  • Modular and flexible architecture
  • Customizable pipelines for ML workflows
  • Extensible plugin system for filters, metrics, and storage
  • Support for distributed processing with MapReduce
  • Integrated model evaluation and optimization tools

Installation

To install Framework3, follow these steps:

  1. Make sure you have Python 3.7 or higher installed on your system.

  2. Clone the repository:

    git clone https://github.com/manucouto1/framework3.git
    
  3. Navigate to the project directory:

    cd framework3
    
  4. Install the dependencies using pip:

    pip install -r requirements.txt
    

Basic Usage

Here's a basic example of how to use Framework3:

from framework3.plugins.pipelines import F3Pipeline
from framework3.plugins.filters.classification import KnnFilter
from framework3.plugins.metrics import F1, Precision, Recall

# Create a pipeline
pipeline = F3Pipeline(
    plugins=[KnnFilter()],
    metrics=[F1(), Precision(), Recall()]
)

# Fit the model
pipeline.fit(X_train, y_train)

# Make predictions
predictions = pipeline.predict(X_test)

# Evaluate the model
evaluation = pipeline.evaluate(X_test, y_test, y_pred=predictions)
print(evaluation)

Documentation

For more detailed information on how to use Framework3, check out our complete documentation at:

https://manucouto1.github.io/framework3

Contributing

Contributions are welcome. Please read our contribution guidelines before submitting pull requests.

License

This project is licensed under the AGPL-3.0 license. See the LICENSE file for more details.

Contact

If you have any questions or suggestions, don't hesitate to open an issue in this repository or contact the development team.


Thank you for your interest in Framework3! We hope this tool will be useful in your machine learning projects.

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