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com.salesforce.op.stages.sparkwrappers.specific

SparkModelConverter

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object SparkModelConverter

Allows conversion from spark models to models that follow the OP convention of having a transformFn that can be called on a single row rather than the whole dataframe

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  16. def toOP[T <: PredictionModel[Vector, T]](model: T, uid: String): OpPredictorWrapperModel[T]

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    Converts supported spark model of type PredictionModel[Vector, T] to an OP model

    Converts supported spark model of type PredictionModel[Vector, T] to an OP model

    T

    type of model to convert

    model

    model to convert

    uid

    uid to give converted model

    returns

    Op Binary Model which will produce the same values put into a Prediction return feature

  17. def toOPUnchecked(model: Model[_], uid: String): OpTransformer2[RealNN, OPVector, Prediction]

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    Converts supported spark model of type PredictionModel[Vector, T] to an OP model

    Converts supported spark model of type PredictionModel[Vector, T] to an OP model

    model

    model to convert

    uid

    uid to give converted model

    returns

    Op Binary Model which will produce the same values put into a Prediction return feature

  18. def toOPUnchecked(model: Model[_]): OpTransformer2[RealNN, OPVector, Prediction]

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    Converts supported spark model of type PredictionModel[Vector, T] to an OP model

    Converts supported spark model of type PredictionModel[Vector, T] to an OP model

    model

    model to convert

    returns

    Op Binary Model which will produce the same values put into a Prediction return feature

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