Performance efficiency pillar – Best practices

The performance efficiency pillar focuses on the efficient use of computing resources to meet requirements and the maintenance of that efficiency as demand changes and technologies evolve. This section includes best practices to consider during model development that includes model training, tuning and model performance evaluation.

Best practices

• MLPER-05: Optimize training and inference instance types
• MLPER-06: Explore alternatives for performance improvement
• MLPER-07: Establish a model performance evaluation pipeline
• MLPER-08: Establish feature statistics
• MLPER-09: Perform a performance trade-off analysis
• MLPER-10: Detect performance issues when using transfer learning