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you-n-g b9809a4c33 make the prediction update more friendly (#609) 
* make the prediction update more friendly

* Update test_storage.py

* LabelUpdater

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* Update setup.py

* Update workflow_config_lightgbm_Alpha158.yaml

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* Update setup.py

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* test CI only

* test CI only

* Update workflow_config_lightgbm_Alpha158.yaml

* Update setup.py

* fix "Segmentation fault" in macos

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github action no longer supported ubuntu-16.04

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Co-authored-by: Wangwuyi123 <51237097+Wangwuyi123@users.noreply.github.com>
Co-authored-by: Pengrong Zhu <zhu.pengrong@foxmail.com>
2021-09-30 20:54:44 +08:00
..
benchmarks
make the prediction update more friendly (#609)
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highfreq
fix df_features.index conține np.nan
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hyperparameter/LightGBM
modify the default value of exists_skip in the GetData.qlib_data parameter to False
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model_interpreter
modify the default value of exists_skip in the GetData.qlib_data parameter to False
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model_rolling
Fix undefined names in Python code (#599)
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online_srv
update & fix
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rolling_process_data
modify the default value of exists_skip in the GetData.qlib_data parameter to False
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README.md
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run_all_model.py
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workflow_by_code.ipynb
examples/workflow_by_code.ipynd: fix an error in R.get_recorder() parameters
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workflow_by_code.py
modify the default value of exists_skip in the GetData.qlib_data parameter to False
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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.