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
Description: # 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/)
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
