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AutoKeras

The autokeras_imdb_example.py example script demonstrates the integration of ClearML into code, which uses autokeras.

The example does the following:

  • Trains text classification networks on the Keras built-in IMDB dataset, using the autokeras TextClassifier class, and searches for the best model.
  • Uses two TensorBoard callbacks, one for training and one for testing.
  • ClearML automatically logs everything the code sends to TensorBoard.
  • Creates an experiment named autokeras imdb example with scalars in the autokeras project.

Scalars​

The loss and accuracy metric scalar plots appear in SCALARS, along with the resource utilization plots, which are titled :monitor: machine.

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Hyperparameters​

ClearML automatically logs TensorFlow Definitions. They appear in CONFIGURATION > HYPERPARAMETERS > TF_DEFINE.

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Console​

Text printed to the console for training progress, as well as all other console output, appear in CONSOLE.

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Artifacts​

Models created by the experiment appear in the experiment's ARTIFACTS tab.

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Clicking on the model's name takes you to the model's page, where you can view the model's details and access the model.

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