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Visualization toolkit for Chainer

Project description

An unofficial visualization tool for chainer, inspired by tensorboard. The toolkit allows visualization of log from chainer.extensions.LogReport.

Example usage:

model = L.Classifier(MyModel())

optimizer = chainer.optimizers.Adam()

train = create_my_data()
train_iter = chainer.iterators.SerialIterator(train, batchsize)

updater = training.StandardUpdater(train_iter, optimizer)
trainer = training.Trainer(updater, (epochs, 'epoch'), out='path/to/output')

# optional; allows visualization of parameters

# Run the training

and point chainerboard at the output log file to start local http server.

chainerboard path/to/output/my_log_name

now open http://localhost:6006/ to view the log.


To setup development environment:

pip install -r requirements.txt

For testing,


Build document

python build_sphinx

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chainerboard-0.1.5.tar.gz (850.0 kB view hashes)

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