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Online Serving V11
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# Licensed under the MIT License.
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"""
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This example show how OnlineManager works with rolling tasks.
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This example shows how OnlineManager works with rolling tasks.
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There are two parts including first train and routine.
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Firstly, the OnlineManager will finish the first training and set trained models to `online` models.
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Next, the OnlineManager will finish a routine process, including update online prediction -> prepare signals -> prepare tasks -> prepare new models -> reset online models
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# python rolling_online_management.py first_run
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####### to update the models and predictions after the trading time, use the command below
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# python rolling_online_management.py after_day
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# python rolling_online_management.py routine
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####### to define your own parameters, use `--`
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# python rolling_online_management.py first_run --exp_name='your_exp_name' --rolling_step=40
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