https://github.com/cleanpegasus/coffeeshop

A python package that sends your deep learning training and validation metrics to your slack channel after every specified epoch
https://github.com/cleanpegasus/coffeeshop

deep-learning keras monitoring-tool pip python python-package slack

Last synced: 2 days ago
JSON representation

A python package that sends your deep learning training and validation metrics to your slack channel after every specified epoch

• Host: GitHub
• URL: https://github.com/cleanpegasus/coffeeshop
• Owner: CleanPegasus
• License: mit
• Created: 2019-08-26T19:10:52.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2020-01-19T07:29:37.000Z (almost 5 years ago)
• Last Synced: 2024-11-11T06:08:00.266Z (3 days ago)
• Topics: deep-learning, keras, monitoring-tool, pip, python, python-package, slack
• Language: Python
• Homepage:
• Size: 200 KB
• Stars: 60
• Watchers: 3
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
[![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg)](https://www.python.org/) [![GitHub license](https://img.shields.io/github/license/Naereen/StrapDown.js.svg)](https://github.com/Naereen/StrapDown.js/blob/master/LICENSE)

# Coffeeshop

This package sends your deep learning model's training and validation metrics to your slack channel after every specified epoch.

It uses slackclient and keras python packages.

### Installation

>$ **pip install coffeeshop**

### Code sample

```python

from coffeeshop.coffeeshop import Coffeeshop

secret = 'xoxp-slacktoken'

# For sending metrics to channel.

channel_name = 'name_of_channel_to_be_posted'

histories = Coffeeshop(token = secret, channel_name = channel_name, epoch_num = 5)

# For sending metrics to user.

user = 'User Name'

histories = Coffeeshop(token = secret, user_name = user, epoch_num = 5)

# Add histories in the callbacks.

model.fit(X_train, Y_train, epochs = epochs, batch_size = batch_size,callbacks = [histories])

```

### Output sample



#### Contact

[E-mail]([email protected])

[Github](https://github.com/CleanPegasus)

[LinkedIn](https://www.linkedin.com/in/arunkumar-l/)