- All Implemented Interfaces:
- See Also:
Nested Class SummaryModifier and TypeClassDescription
static enumThe parallel backend for batch predictions.
Method SummaryModifier and TypeMethodDescriptionCopies a model, replacing its provenance and name with the supplied values.Generates an excuse for an example.
(int n)Gets the top
nfeatures associated with this model.Uses the model to predict the output for multiple examples.Uses the model to predict the output for a single example.
Methods inherited from class org.tribuo.Model
castModel, copy, generatesProbabilities, getExcuses, getFeatureIDMap, getName, getOutputIDInfo, getProvenance, predict, predict, setName, toString, validate
predictUses the model to predict the output for a single example.
predict does not mutate the example.
IllegalArgumentExceptionif the example has no features or no feature overlap with the model.
innerPredictUses the model to predict the output for multiple examples.
getTopFeaturesGets the top
nfeatures associated with this model.
If the model does not produce per output feature lists, it returns a map with a single element with key Model.ALL_OUTPUTS.
If the model cannot describe it's top features then it returns
- Specified by:
Model<T extends Output<T>>
n- the number of features to return. If this value is less than 0, all features should be returned for each class, unless the model cannot score it's features.
- a map from string outputs to an ordered list of pairs of feature names and weights associated with that feature in the model
getExcuseGenerates an excuse for an example.
This attempts to explain a classification result. Generating an excuse may be quite an expensive operation.
This excuse either contains per class information or an entry with key Model.ALL_OUTPUTS.
The optional is empty if the model does not provide excuses.
copyCopies a model, replacing its provenance and name with the supplied values.
Used to provide the provenance removal functionality.