keras custom callback for slack
$ pip install keras-callback-slack
from keras_callback_slack import SlackNotifications
slack_notification = SlackNotifications(
'WEBHOOK_URL', token='TOKEN', channel='CHANNEL', attachment_image=True)
model.fit(x, y, batch_size=64, epochs=5, callbacks=[slack_notification])
url
: string - Slack Incoming Webhook URLtoken
: string(Optional) - Slack bot token
This will be needed when uploading the graph.channel
: string(Optional) - Slack channel ID
The ID of the channel to which you want to upload the graph. Specify the same channel as the webhook.loss_metrics
: list(Optional) - Loss metrics you want to monitor.
ex.['loss', 'val_loss']
acc_metrics
: list(Optional) - Acc metrics you want to monitor.
ex.['acc', 'val_acc']
attachment_image
: bool(Optional) - Whether to upload the graph.period
: int(Optional) - Notification interval (epochs).