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update docs

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2021-02-03 15:46:54 +00:00
committed by you-n-g
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examples/highfreq/README.md
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@@ -12,11 +12,11 @@ Get high-frequency data by running the following command:
## Dump & Reload & Reinitialize the Dataset
The High-Frequency Dataset is implemented as `qlib.data.dataset.DatasetH` in the `workflow.py`. `DatatsetH` is the subclass of `qlib.utils.serial.Serializable`, which supports being dumped in or loaded from disk in `pickle` format.
The High-Frequency Dataset is implemented as `qlib.data.dataset.DatasetH` in the `workflow.py`. `DatatsetH` is the subclass of [`qlib.utils.serial.Serializable`](https://qlib.readthedocs.io/en/latest/advanced/serial.html), whose state can be dumped in or loaded from disk in `pickle` format.
### About Reinitialization
After reloading `Dataset` from disk, `Qlib` also support reinitializing the dataset. It means that users can reset some config of `Dataset` or `DataHandler` such as `instruments`, `start_time`, `end_time` and `segmens`, etc.
After reloading `Dataset` from disk, `Qlib` also support reinitializing the dataset. It means that users can reset some states of `Dataset` or `DataHandler` such as `instruments`, `start_time`, `end_time` and `segments`, etc., and generate new data according to the states.
The example is given in `workflow.py`, users can run the code as follows.