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trait OpModel[Context, M] extends AnyRef

Type class for serializing/deserializing ML models to Bundle.ML.

Context

context for implementation

M

Scala class of the ML model

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Abstract Value Members

  1. abstract val klazz: Class[M]

    Class of the model.

  2. abstract def load(model: Model)(implicit context: BundleContext[Context]): M

    Load the model.

    Load the model.

    Load all standard parameters from the model attributes. Load all non-standard parameters like decision trees from the custom files.

    model

    model and attributes read from Bundle.ML

    context

    bundle context for custom types

    returns

    reconstructed ML model from the model and context

  3. abstract def opName: String

    Get the name of the model.

    Get the name of the model.

    returns

    name of the model

  4. abstract def store(model: Model, obj: M)(implicit context: BundleContext[Context]): Model

    Store the model.

    Store the model.

    Store all standard parameters to the model's attribute list. Store all non-standard parameters like a decision tree to files.

    Attributes saved to the writable model will be serialized for you to JSON or Protobuf depending on the selected ml.combust.bundle.serializer.SerializationFormat.

    model

    writable model to store model attributes in

    obj

    object to be stored in Bundle.ML

    context

    bundle context for custom types

    returns

    writable model to be serialized

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  10. final def isInstanceOf[T0]: Boolean
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  11. def modelOpName(obj: M)(implicit context: BundleContext[Context]): String

    Get the name of the model.

    Get the name of the model.

    This version uses the bundle context, in case the name is being deferred to another op.

    Defaults to returning the opName.

    obj

    the model

    context

    bundle context

  12. final def ne(arg0: AnyRef): Boolean
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  1. def finalize(): Unit
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