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    • Type: Sub-task
    • Status: Resolved
    • Priority: Minor
    • Resolution: Incomplete
    • Affects Version/s: None
    • Fix Version/s: None
    • Component/s: ML
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      Description

      The current implementation of Estimator does not support warm-start fitting, i.e. estimator.fit(data, params, partialModel). But first we need to add warm-start for all ML estimators. This is an umbrella JIRA to add support for the warm-start estimator.

      Treat model as a special parameter, passing it through ParamMap. e.g. val partialModel: Param[Option[M]] = new Param(...). In the case of model existing, we use it to warm-start, else we start the training process from the beginning.

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              • Assignee:
                Unassigned
                Reporter:
                yinxusen Xusen Yin
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