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mirror of https://github.com/microsoft/qlib.git synced 2026-07-04 11:30:57 +08:00

Remove estimator test and Update README

This commit is contained in:
Jactus
2020-09-30 10:05:32 +08:00
committed by you-n-g
parent b332321e90
commit 6c401d17b8
2 changed files with 5 additions and 5 deletions

View File

@@ -55,6 +55,6 @@ jobs:
- name: Test data downloads and examples
run: |
python scripts/get_data.py qlib_data_cn --target_dir ~/.qlib/qlib_data/cn_data
cd examples
estimator -c estimator/estimator_config.yaml
jupyter nbconvert --execute estimator/analyze_from_estimator.ipynb --to html
# cd examples
# estimator -c estimator/estimator_config.yaml
# 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
the same repository.
Users could create the same dataset with it.
*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)*
*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)*.
<!--
- Run the initialization code and get stock data:
@@ -127,7 +127,7 @@ Users could create the same dataset with it.
## Auto Quant Research Workflow
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:
1. Quant Research Workflow: Run `Estimator` with [estimator_config.yaml](examples/estimator/estimator_config.yaml) as following.
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.*)
```bash
cd examples # Avoid running program under the directory contains `qlib`
estimator -c estimator/estimator_config.yaml