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Fixed typos in workflow.rst (#1068)
* Update workflow.rst Fixed a typo. `please refer to Qlib Model` should be `please refer to Qlib Data` in Dataset section. * Fix typo. `preprossing` should be `preprocessing` * Update data.rst Remove extra `of`.
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@@ -437,7 +437,7 @@ Dataset
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The ``Dataset`` module in ``Qlib`` aims to prepare data for model training and inferencing.
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The motivation of this module is that we want to maximize the flexibility of of different models to handle data that are suitable for themselves. This module gives the model the flexibility to process their data in an unique way. For instance, models such as ``GBDT`` may work well on data that contains `nan` or `None` value, while neural networks such as ``MLP`` will break down on such data.
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The motivation of this module is that we want to maximize the flexibility of different models to handle data that are suitable for themselves. This module gives the model the flexibility to process their data in an unique way. For instance, models such as ``GBDT`` may work well on data that contains `nan` or `None` value, while neural networks such as ``MLP`` will break down on such data.
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If user's model need process its data in a different way, user could implement his own ``Dataset`` class. If the model's
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data processing is not special, ``DatasetH`` can be used directly.
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