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losswise
Advanced tools
This is the official Losswise Python library. This library allows for server-side integration of Losswise.
The library can be installed using pip::
pip install losswise
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', max_iter=10, 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.
FAQs
Official Losswise library for Python
We found that losswise demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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