milvus/tests/milvus_ann_acc
2019-11-22 14:18:33 +08:00
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ci Update caser run timeout 2019-11-22 14:18:33 +08:00
.gitignore #18 Add all test cases 2019-10-16 18:40:31 +08:00
client.py [skip ci] Add ann-dataset accuracy pipeline 2019-11-22 11:13:43 +08:00
config.yaml #18 Add all test cases 2019-10-16 18:40:31 +08:00
main.py [skip ci] Add ann-dataset accuracy pipeline 2019-11-22 11:13:43 +08:00
README.md Update README.md #27 2019-10-17 16:55:46 +08:00
requirements.txt [skip ci] Add ann-dataset accuracy pipeline 2019-11-22 11:13:43 +08:00
runner.py [skip ci] Add ann-dataset accuracy pipeline 2019-11-22 11:13:43 +08:00
suite_czr.yaml [skip ci] Add ann-dataset accuracy pipeline 2019-11-22 11:13:43 +08:00
suite_debug.yaml [skip ci] Add ann-dataset accuracy pipeline 2019-11-22 11:13:43 +08:00
suite.yaml [skip ci] Add ann-dataset accuracy pipeline 2019-11-22 11:13:43 +08:00
suite.yaml.bak [skip ci] Add ann-dataset accuracy pipeline 2019-11-22 11:13:43 +08:00
test.py [skip ci] Add ann-dataset accuracy pipeline 2019-11-22 11:13:43 +08:00

Requirements

  • python 3.6+
  • pip install -r requirements.txt

How to use this Test Project

This project is used to test search accuracy based on the given datasets (https://github.com/erikbern/ann-benchmarks#data-sets)

  1. start your milvus server
  2. update your test configuration in test.py
  3. run command
python test.py

Contribution getting started

  • Follow PEP-8 for naming and black for formatting.