This repository was archived by the owner on Nov 16, 2023. It is now read-only.

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This repository was archived by the owner on Nov 16, 2023. It is now read-only.

Issues

Demonstrate the use of Bayesian hyperparameter sampling
microsoft/MLHyperparameterTuning#112 · opened on Apr 22, 2020
Use Azure ML Datasets for the data
microsoft/MLHyperparameterTuning#84 · opened on Nov 7, 2019
Use the conda_dependencies_file input for consistent environments
microsoft/MLHyperparameterTuning#82 · opened on Oct 24, 2019
Add control of iteration used in testing
microsoft/MLHyperparameterTuning#78 · opened on Oct 15, 2019
Create best model using distributed training
microsoft/MLHyperparameterTuning#72 · opened on Aug 5, 2019
Include dev-tests
microsoft/MLHyperparameterTuning#71 · opened on Aug 5, 2019
Refactor scripts into functions
microsoft/MLHyperparameterTuning#70 · opened on Aug 5, 2019
Use Python logging in scripts
microsoft/MLHyperparameterTuning#69 · opened on Aug 5, 2019
Use low-priority nodes
microsoft/MLHyperparameterTuning#2 · opened on Oct 8, 2018
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