# MLTrainer Checker

MLTrainer Checker is a Python tool designed to validate machine learning models implemented on different machine learning platforms, ensuring they are working correctly. This tool allows you to verify the integrity and performance of your machine learning models with ease.

## Features

- **Model Validation:** MLTrainer Checker validates machine learning models to ensure they are functioning as expected, helping you catch errors and issues early in the development process.

- **Cross-Platform Compatibility:** It supports models built on various machine learning platforms, making it versatile for different projects.

## Installation

You can install MLTrainer Checker using `pip`:

```bash
pip install mltrainer-checker
```

## Usage

To use MLTrainer Checker in your project, follow these steps:

1. Import the library:

    ```python
    from mltrainer_checker import 
    ```

2. Create an instance of `MLTrainerChecker` with your trained machine learning model:

    ```python
    ```

3. Validate your model:

    ```python
    ```

4. Analyze the results to ensure your model is working correctly.

## Example

Here's a simple example of how to use MLTrainer Checker:

```python

```

## Author

- **Author:** hiendang7613
- **Email:** dvhqnn1@gmail.com
- **GitHub:** [hiendang7613/MLTrainerChecker](https://github.com/hiendang7613/MLTrainerChecker)

## Version

- **Version:** 1.0

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Contributing

Contributions are welcome! Please read the [CONTRIBUTING.md](CONTRIBUTING.md) file for guidelines on how to contribute to this project.

## Acknowledgments

- Special thanks to the open-source community for their valuable contributions and support.

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© 2023 hiendang7613
