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Model Advisory to tune the AI models based on application historical data #53

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pzou1974 opened this issue Feb 1, 2019 · 1 comment
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enhancement New feature or request foremast-brain refer to foremast-brain component foremast-service refer to foremast-service component size: 8
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@pzou1974
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pzou1974 commented Feb 1, 2019

Here are the basic features:
Based on the registered application historical data check
. if stationary
. if has seasonality pattern
. auto tuning model the super parameters
Persist the result

@pzou1974 pzou1974 added enhancement New feature or request size: 8 foremast-brain refer to foremast-brain component foremast-service refer to foremast-service component labels Feb 1, 2019
@pzou1974
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pzou1974 commented Feb 1, 2019

We need to have formastConf document to store all the application AI model config

  1. Store the historical data parameter
    2.store the model and tunned super parameters.

@pzou1974 pzou1974 added this to the 0.9 milestone Feb 1, 2019
@pzou1974 pzou1974 self-assigned this Feb 1, 2019
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enhancement New feature or request foremast-brain refer to foremast-brain component foremast-service refer to foremast-service component size: 8
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