Package smile.model


package smile.model
Generic model interface and base classes that may be used for both classification and regression.
  • Class
    Description
    The anomaly detection model.
    The classification model.
    The centroid-based clustering model.
    Model prediction explanations.
    Generic model interface.
    The model prediction containing the predicted output value, optional class probability estimates for soft classification models, optional cluster/prototype centroid coordinates for clustering and vector quantization models, optional quantization error, optional anomaly score, and optional explanations.
    Custom Jackson 3 serializer for probability values.
    The regression model.
    Custom Jackson 3 serializer for SHAP explanation values.
    The vector quantization model.