solidipy-mipt 1.2.3

Make your ML solid!

Solidipy-MIPT

Make your ML solid!
Examples · Report Bug · Request Feature

Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Contributing
5. License
6. Contact

About The Project

Solidipy-MIPT is a Python library designed to provide a solid foundation for machine learning tasks. It includes various machine learning algorithms such as Weighted k-nearest neighbors (WKNN) and regressions, along with evaluation metrics to assess model performance.

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Built With

Major frameworks/libraries used to bootstrap solidipy-mipt.

• NumPy
• Matplotlib

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Getting Started

To get a local copy up and running follow these simple example steps.

Prerequisites

Before installing Solidipy-MIPT make sure you have last version of Python3 and pip.

Installation

You can install solidipy-mipt using pip:

pip install solidipy-mipt

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Usage

Simple Weighted KNN example

import numpy as np
from solidipy_mipt import accuracy
from solidipy_mipt.algorithms import WKNN

X = np.array([[1, 2], [3, 4], [5, 6], [7, 8]])
y = np.array([0, 1, 0, 1])
X_train, X_test, y_train, y_test = train_test_split(
  X, y, train_ratio=0.6, shuffle=True
)

wknn = WKNN()
wknn.fit(X_train, y_train)
prediction = wknn.predict(X_test)

print(accuracy(prediction, y_test))

For more examples, please refer to the solidipy_mipt examples

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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License

Distributed under the MIT License. See LICENSE.txt for more information.

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Contact

Matvei Gorskii - t.me/Kynemallv - [e-mail]

Project Link: https://github.com/your_username/repo_name

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