The total set of classes that the predicted value can take on.
The total set of classes that the predicted value can take on.
The set of possible values for the predicted value.
This should return a representative class from every jar that is needed to load the object during deserialization.
This should return a representative class from every jar that is needed to load the object during deserialization.
Default implementation returns the class of MLModel, and the class of the model implementation.
Used to identify this model when in a collection of models.
Used to identify this model when in a collection of models. Should be simple characters, so it can be used in a feature name.
identifier for the model.
Used for combining a Clustering model (e.g. K-Means) with preprocessors (e.g. One Hot Encoding).