Official Losswise library for Python
Project description
This is the official Losswise Python library. This library allows for server-side integration of Losswise.
Installation
The library can be installed using pip:
pip install losswise
Getting Started
First create an account on the Losswise website (https://losswise.com). This will automatically generate a unique API key.
Typical usage usually looks like this:
import random import losswise # replace with your own api key losswise.set_api_key('your_api_key') # replace with a string that identifies your model session = losswise.Session(tag='my_dilated_convnet', data={'num_params': 10000000}) # create empty graph for loss, keep track of minima here hence kind='min' graph = session.Graph(title='loss', kind='min') # track artificial loss over time for x in xrange(10): train_loss = 1. / (0.1 + x + 0.1 * random.random()) test_loss = 1.5 / (0.1 + x + 0.2 * random.random()) graph.append(x, {'train_loss': train_loss, 'test_loss': test_loss}) # mark session as complete session.done()
You can then view the visualization results on your dashboard.
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