This repository contains code for simple telegram bot for logging ML metrics.

pip install tg-bot-ml

This package contains two classes to log ML metrics.

This writer is usefull for logging hyperparameters optimization or when you need log only numeric values.
Example:

For more information see example : examples/hyperparams_gb.py

This writer could be used for logging neural networks metrics per epoch.
Example:

For more information see example : examples/tg_bot_nn_segmentation.py

1. Create telegram bot. Save token.
2. Create public telegram group.
3. Add your bot to this group. Make him an administrator.
4. Run following code

   from tg_bot_ml.utils import create_credentials
   
   create_credentials(BOT_TOKEN, PUBLIC_CHAT_NAME, './credentials.yaml')
   

5. Make your group private.

In the end you will have file credentials.yaml that you can use to write logs into this group.

For example :

from tg_bot_ml.table_bot import TGTableSummaryWriter

if __name__ == '__main__':
    tg_bot = TGTableSummaryWriter('../credentials.yaml', 'Catboost Hyperopt : Customer Churn')
    tg_bot.add_record(lr=1e-3, n_estimators=100, MSE=1.3)
    tg_bot.send(sort_by="MSE", ascending=False)