# 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](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
## Prerequisites
Before installing Framework3, ensure you have the following prerequisites:
1. Python 3.11 or higher
2. pip (Python package installer)
## Installation Options
You have two options to install Framework3:
### Option 1: Install from PyPI
The easiest way to install Framework3 is directly from PyPI using pip:
```bash
pip install framework3
```
This will install the latest stable version of Framework3 and its dependencies.
### Option 2: Install from Source
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:
```python
from framework3.plugins.pipelines import F3Pipeline
from framework3.plugins.filters 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](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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"description": "# Framework3\n\nFramework3 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](https://manucouto1.github.io/framework3)\n\n## Key Features\n\n- Modular and flexible architecture\n- Customizable pipelines for ML workflows\n- Extensible plugin system for filters, metrics, and storage\n- Support for distributed processing with MapReduce\n- Integrated model evaluation and optimization tools\n\n## Prerequisites\n\nBefore installing Framework3, ensure you have the following prerequisites:\n\n1. Python 3.11 or higher\n2. pip (Python package installer)\n\n## Installation Options\n\nYou have two options to install Framework3:\n\n### Option 1: Install from PyPI\n\nThe easiest way to install Framework3 is directly from PyPI using pip:\n\n```bash\npip install framework3\n```\n\nThis will install the latest stable version of Framework3 and its dependencies.\n\n### Option 2: Install from Source\n\n2. Clone the repository:\n ```\n git clone https://github.com/manucouto1/framework3.git\n ```\n\n3. Navigate to the project directory:\n ```\n cd framework3\n ```\n\n4. Install the dependencies using pip:\n ```\n pip install -r requirements.txt\n ```\n\n## Basic Usage\n\nHere's a basic example of how to use Framework3:\n\n```python\nfrom framework3.plugins.pipelines import F3Pipeline\nfrom framework3.plugins.filters import KnnFilter\nfrom framework3.plugins.metrics import F1, Precision, Recall\n\n# Create a pipeline\npipeline = F3Pipeline(\n plugins=[KnnFilter()],\n metrics=[F1(), Precision(), Recall()]\n)\n\n# Fit the model\npipeline.fit(X_train, y_train)\n\n# Make predictions\npredictions = pipeline.predict(X_test)\n\n# Evaluate the model\nevaluation = pipeline.evaluate(X_test, y_test, y_pred=predictions)\nprint(evaluation)\n```\n\n## Documentation\n\nFor more detailed information on how to use Framework3, check out our complete documentation at:\n\n[https://manucouto1.github.io/framework3](https://manucouto1.github.io/framework3)\n\n## Contributing\n\nContributions are welcome. Please read our contribution guidelines before submitting pull requests.\n\n## License\n\nThis project is licensed under the AGPL-3.0 license. See the `LICENSE` file for more details.\n\n## Contact\n\nIf you have any questions or suggestions, don't hesitate to open an issue in this repository or contact the development team.\n\n---\n\nThank you for your interest in Framework3! We hope this tool will be useful in your machine learning projects.\n",
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