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qlib/examples
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Cadenza-Li 76f2fb1a1a Add ipynb format check (#1439) 
* Update test_qlib_from_source.yml

* add ipynb format check to workflow

* test ipynb CI

* modify nbqa check path

* add pylint flake8 mypy check to ipynb

* check ipynb with black and pylint

* reformat .ipynb files

* format line length

nbqa black . -l 120

* update nbqa .ipynb format CI

* format old ipynb files

* add nbconvert check to CI

* adjust CI order to avoid repeating download data
2023-02-21 09:23:22 +08:00
..
benchmarks
Add ipynb format check (#1439)
2023-02-21 09:23:22 +08:00
benchmarks_dynamic
[DDG-DA] Update crowd-sourced data results (#1405)
2023-01-03 00:15:50 +08:00
data_demo
add ops_warning_log to config (#685)
2021-11-12 22:23:29 +08:00
highfreq
[807] Move the REG_CONSTANT/EPS to constant.py. (#811)
2022-01-09 21:39:46 +08:00
hyperparameter/LightGBM
Bump numpy from 1.17.4 to 1.21.0 in /examples/hyperparameter/LightGBM (#896)
2022-01-27 11:16:48 +08:00
model_interpreter
[807] Move the REG_CONSTANT/EPS to constant.py. (#811)
2022-01-09 21:39:46 +08:00
model_rolling
[807] Move the REG_CONSTANT/EPS to constant.py. (#811)
2022-01-09 21:39:46 +08:00
nested_decision_execution
pylint code refine & Fix nested example (#848)
2022-01-14 09:09:21 +08:00
online_srv
Add backtest example to online simulation (#984)
2022-03-19 01:53:14 +08:00
orderbook_data
Black(new version) Format
2022-02-06 22:33:16 +08:00
portfolio
Update Portfolio README.md (#900)
2022-02-07 16:04:11 +08:00
rl
Add ipynb format check (#1439)
2023-02-21 09:23:22 +08:00
rolling_process_data
[807] Move the REG_CONSTANT/EPS to constant.py. (#811)
2022-01-09 21:39:46 +08:00
tutorial
Add ipynb format check (#1439)
2023-02-21 09:23:22 +08:00
README.md
Update README.md
2020-12-17 00:35:35 +08:00
run_all_model.py
Correct errors and typos in doc strings (#1338)
2022-11-07 23:37:18 +08:00
workflow_by_code.ipynb
Add ipynb format check (#1439)
2023-02-21 09:23:22 +08:00
workflow_by_code.py
Add introduction for workflow_by_code.py (#1186)
2022-07-08 10:16:08 +08:00

README.md

Requirements

Here is the minimal hardware requirements to run the workflow_by_code example.

  • Memory: 16G
  • Free Disk: 5G

NOTE

The results will slightly vary on different OSs(the variance of annualized return will be less than 2%). The evaluation results in the README.md page are from Linux OS.