GitHub / andreas-gompos / hyperparameter-tuning-at-scale
Example implementations on how to perform hyperparameter optimisation at scale on arbitrary models using SageMaker and Polyaxon
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PURL: pkg:github/andreas-gompos/hyperparameter-tuning-at-scale
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 15.6 KB
Dependencies parsed at: Pending
Created at: over 5 years ago
Updated at: about 3 years ago
Pushed at: over 2 years ago
Last synced at: over 2 years ago
Topics: hyperparameter-optimization, machine-learning, polyaxon, sagemaker