Metadata-Version: 2.1
Name: model_logger_dp
Version: 1.0.3.post2
Summary: Model Logger for Pytorch
Keywords: python,logger,model
Author-Email: Ian Zhu <IanZhu@m.ldu.edu.cn>
License: MIT
Project-URL: homepage, https://github.com/10-4zz/model_logger_dp
Project-URL: repository, https://github.com/10-4zz/model_logger_dp
Requires-Python: >=3.8
Description-Content-Type: text/markdown

# Model Logger

[![Python >= 3.8](https://img.shields.io/badge/python->=3.8-blue.svg)](https://www.python.org/downloads/release/)

A package that contains method to log the model training log.

The package is an uncompleted package in the version 1.x. Its functions will be gradually improved in subsequent versions.

## How to use
To use the model logger, you need to install the package first. You can install it using pip:

```bash
pip install model_logger_dp
```

To start the model logger.

```python
import os
import model_logger_dp

os.environ['LOG_PATH'] = './output/log'  # Set the directory for logs

# If you want to save the log with a specific file name, you should set the filename parameter.
# If you do not set the filename parameter, the log will be saved with a datatime name.
logger  = model_logger_dp.ModelLogger(filename='train.log')

# Use the print method to log the message.
print('Hellow World!')
```

To look the help and update log of the package, you can use the `log_help` and `log_update` method.

```python
import model_logger_dp

model_logger_dp.log_help()
model_logger_dp.log_update()
```
## Update
    `1.0.3` - Add model summery method and update the setup method.
    `1.0.2` - Add showing the caller method.
    `1.0.1` - Add the logger decorator, improve the logger instance and implement help and update log method.
    `1.0.0` - Initial release with basic logging functionality.

## License

model_logger is MIT licensed. See the [LICENSE](LICENSE) for details.