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

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

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

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