model-logger-dp


Namemodel-logger-dp JSON
Version 1.0.3.post1 PyPI version JSON
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home_pageNone
SummaryModel Logger for Pytorch
upload_time2025-07-27 08:43:27
maintainerNone
docs_urlNone
authorNone
requires_python>=3.8
licenseMIT
keywords python logger model
VCS
bugtrack_url
requirements torch torchvision pyyaml huggingface_hub safetensors numpy
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # 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.
            

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    "description": "# Model Logger\n\n[![Python >= 3.8](https://img.shields.io/badge/python->=3.8-blue.svg)](https://www.python.org/downloads/release/)\n\nA package that contains method to log the model training log.\n\nThe package is an uncompleted package in the version 1.x. Its functions will be gradually improved in subsequent versions.\n\n## How to use\nTo use the model logger, you need to install the package first. You can install it using pip:\n\n```bash\npip install model_logger_dp\n```\n\nTo start the model logger.\n\n```python\nimport os\nimport model_logger_dp\n\nos.environ['LOG_PATH'] = './output/log'  # Set the directory for logs\n\n# If you want to save the log with a specific file name, you should set the filename parameter.\n# If you do not set the filename parameter, the log will be saved with a datatime name.\nlogger  = model_logger_dp.ModelLogger(filename='train.log')\n\n# Use the print method to log the message.\nprint('Hellow World!')\n```\n\nTo look the help and update log of the package, you can use the `log_help` and `log_update` method.\n\n```python\nimport model_logger_dp\n\nmodel_logger_dp.log_help()\nmodel_logger_dp.log_update()\n```\n## Update\n    `1.0.3` - Add model summery method and update the setup method.\n    `1.0.2` - Add showing the caller method.\n    `1.0.1` - Add the logger decorator, improve the logger instance and implement help and update log method.\n    `1.0.0` - Initial release with basic logging functionality.\n\n## License\n\nmodel_logger is MIT licensed. See the [LICENSE](LICENSE) for details.",
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