bob-telegram-tools 1.1.0

A package to monitor your Machine Learning trainings every where without any additional app.

Bob Telegram Tools is a python library which allows you to monitor your machine learning methods just by using Telegram without any additional application.

Documentation

See https://robertanto.github.io/bob_telegram_tools/ for detailed instruction, manuals and tutorials.

Installation instructions

You can install the package with pip:

pip install bob-telegram-tools

Getting started

import keras
from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import RMSprop
import numpy as np

from bob_telegram_tools.keras import KerasTelegramCallback
from bob_telegram_tools.bot import TelegramBot

X = np.random.rand(1000, 100)
y = (np.random.rand(1000, 3) > 0.5).astype('float32')

model = Sequential()
model.add(Dense(512, activation='relu', input_shape=(100,)))
model.add(Dense(512, activation='relu'))
model.add(Dense(3, activation='softmax'))

model.compile(loss='categorical_crossentropy',
              optimizer=RMSprop(),
              metrics=['accuracy'])

n_epochs = 3

token = '<your_token>'
user_id = int('<your_chat_id>')
bot = TelegramBot(token, user_id)

tl = KerasTelegramCallback(bot, epoch_bar=True, to_plot=[
    {
        'metrics': ['loss', 'val_loss']
    },
    {
        'metrics': ['acc', 'val_acc'],
        'title':'Accuracy plot',
        'ylabel':'acc',
        'ylim':(0, 1),
        'xlim':(1, n_epochs)
    }
])

history = model.fit(X, y,
                    batch_size=10,
                    epochs=n_epochs,
                    validation_split=0.15,
                    callbacks=[tl])

License

Code released under the GNU GENERAL PUBLIC LICENSE.