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fix typo s/Licence /License
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digger-yu committed May 4, 2024
1 parent 702de78 commit 15adeb8
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -521,7 +521,7 @@ You can find some impefect implementation in Qlib by `rg 'TODO|FIXME' qlib`
If you would like to become one of Qlib's maintainers to contribute more (e.g. help merge PR, triage issues), please contact us by email([[email protected]](mailto:[email protected])). We are glad to help to upgrade your permission.

## Licence
## License
Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the right to use your contribution. For details, visit https://cla.opensource.microsoft.com.
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2 changes: 1 addition & 1 deletion docs/advanced/PIT.rst
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Expand Up @@ -133,4 +133,4 @@ Known limitations:

- Currently, the PIT database is designed for quarterly or annually factors, which can handle fundamental data of financial reports in most markets.
- Qlib leverage the file name to identify the type of the data. File with name like `XXX_q.data` corresponds to quarterly data. File with name like `XXX_a.data` corresponds to annual data.
- The caclulation of PIT is not performed in the optimal way. There is great potential to boost the performance of PIT data calcuation.
- The calculation of PIT is not performed in the optimal way. There is great potential to boost the performance of PIT data calculation.
2 changes: 1 addition & 1 deletion docs/component/data.rst
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Expand Up @@ -541,7 +541,7 @@ We've specially designed a file structure to manage data and cache, please refer
[cached data] updated when raw data is updated
- calculated features/
- sh600000/
- [hash(instrtument, field_expression, freq)]
- [hash(instrument, field_expression, freq)]
- all-time expression -cache data file
- .meta : an assorted meta file recording the instrument name, field name, freq, and visit times
- ...
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2 changes: 1 addition & 1 deletion docs/component/model.rst
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Expand Up @@ -86,7 +86,7 @@ Example
},
}
# model initiaiton
# model initiation
model = init_instance_by_config(task["model"])
dataset = init_instance_by_config(task["dataset"])
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