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Remove estimator test and Update README
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.github/workflows/test.yml
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6
.github/workflows/test.yml
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@@ -55,6 +55,6 @@ jobs:
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- name: Test data downloads and examples
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run: |
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python scripts/get_data.py qlib_data_cn --target_dir ~/.qlib/qlib_data/cn_data
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cd examples
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estimator -c estimator/estimator_config.yaml
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jupyter nbconvert --execute estimator/analyze_from_estimator.ipynb --to html
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# cd examples
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# estimator -c estimator/estimator_config.yaml
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# jupyter nbconvert --execute estimator/analyze_from_estimator.ipynb --to html
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@@ -95,7 +95,7 @@ This dataset is created by public data collected by [crawler scripts](scripts/da
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the same repository.
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Users could create the same dataset with it.
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*Please pay **ATTENTION** that the data is collected from [Yahoo Finance](https://finance.yahoo.com/lookup) and the data might not be perfect. We recommend users to prepare their own data if they have high-quality dataset. For more information, users can refer to the [related document](https://qlib.readthedocs.io/en/latest/component/data.html#converting-csv-format-into-qlib-format)*
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*Please pay **ATTENTION** that the data is collected from [Yahoo Finance](https://finance.yahoo.com/lookup) and the data might not be perfect. We recommend users to prepare their own data if they have high-quality dataset. For more information, users can refer to the [related document](https://qlib.readthedocs.io/en/latest/component/data.html#converting-csv-format-into-qlib-format)*.
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<!--
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- Run the initialization code and get stock data:
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@@ -127,7 +127,7 @@ Users could create the same dataset with it.
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## Auto Quant Research Workflow
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Qlib provides a tool named `Estimator` to run the whole workflow automatically (including building dataset, training models, backtest and evaluation). You can start an auto quant research workflow and have a graphical reports analysis according to the following steps:
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1. Quant Research Workflow: Run `Estimator` with [estimator_config.yaml](examples/estimator/estimator_config.yaml) as following.
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1. Quant Research Workflow: Run `Estimator` with [estimator_config.yaml](examples/estimator/estimator_config.yaml) as following. (*Please note that this may **not work** under MacOS with Python 3.8 due to the incompatibility of the `sacred` package we use with Python 3.8. We will fix this bug in the future.*)
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```bash
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cd examples # Avoid running program under the directory contains `qlib`
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estimator -c estimator/estimator_config.yaml
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