Bob Telegram Tools is a python library which allows you to monitor your machine learning methods just by using Telegram without any additional application.
See https://robertanto.github.io/bob_telegram_tools/ for detailed instruction, manuals and tutorials.
You can install the package with pip:
pip install bob-telegram-tools
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])Code released under the GNU GENERAL PUBLIC LICENSE.