Version History

version 2.0

• Add Dashboard to provide insightful visualizations to help users track experiment progress, analyze and contrast jobs, experiments, and optimization approaches

• Add Compressor - a model compression tool that helps reduce memory complexity and inference time of neural networks

• Add 4 early stopping strategies to improve the efficiency of HPO experiments

• Add feature to track intermediate results of both HPO and compression experiments

• Add feature to save the best model with the best hyperparameter combination

• Add feature to track multiple results returned from the HPO experiment

• Refactor documentation

• Minor bug fixes

• Auptimizer 2.0 wheel python2 or python3

version 1.4

• Add Converter to convert models in various formats into TensorFlow Lite or ONNX

• Add feature to enhance SSH connection robustness: re-establish SSH connection upon connection failure

• Add feature to enhance experiment robustness: retry failed jobs and resume experiment from job failure

• Refactor documentation

• Minor bug fixes

• Auptimizer 1.4 wheel python2 or python3

version 1.3

• Add Profiler for profiling model scripts

• Auptimizer 1.3 wheel python2

• Auptimizer 1.3 wheel python3

version 1.2

• Add BOHB proposer

• Add decorator to simplify the experiment setup

• Minor changes and bug fixes

• Auptimizer 1.2 wheel python2

• Auptimizer 1.2 wheel python3

version 1.1

• Add R interface.

• Minor changes and bug fixes.

• Auptimizer 1.1 wheel python2

• Auptimizer 1.1 wheel python3

version 1.0

Release to Github

• Auptimizer 1.0 wheel python2

• Auptimizer 1.0 wheel python3