Metadata-Version: 2.1
Name: coffeeshop
Version: 1.0
Summary: A python package that sends your deep learning training loss to your slack channel after every specified epoch.
Home-page: https://github.com/CleanPegasus/coffeeshop
Author: Arunkumar L
Author-email: arunk609@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
Requires-Dist: keras
Requires-Dist: slackclient

# Coffeeshop

This package sends your deep learning training loss and accuracy to your slack channel after every specified epoch.
It uses slackclient and keras python packages.

### Installation

>$ **pip install coffeeshop**


### Code sample

```python
from coffeeshop import coffeeshop

secret = 'xoxp-slacktoken'
channel_name = 'name_of_channel_to_be_posted'

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

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

```

### Output sample

<img src="readme_resources/sample_output.jpeg">
</img>



#### Contact

[E-mail](arunk609@gmail.com)

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

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



