keras_callback_slack
keras custom callback for slack
Installation
$ pip install keras-callback-slack
Usage
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])
Arguments
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).
Example
Release files for keras-callback-slack 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| keras_callback_slack-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Release files / keras_callback_slack-0.0.5-py3-none-any.whl
| Download URL | keras_callback_slack-0.0.5-py3-none-any.whl |
|---|---|
| Size | 4.6 kB |
| Tags | Python 3 |
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