The predict method of this model assigns centres to the provided input, but it does not update the model's centroids.
The predict method is single threaded.
J. Friedman, T. Hastie, & R. Tibshirani. "The Elements of Statistical Learning" Springer 2001. PDF
|Modifier and Type||Method and Description|
Copies a model, replacing it's provenance and name with the supplied values.
Returns a copy of the centroids.
Generates an excuse for an example.
Gets the top
Uses the model to predict the output for a single example.
copy, generatesProbabilities, getExcuses, getFeatureIDMap, getName, getOutputIDInfo, getProvenance, innerPredict, predict, predict, setName, toString, validate
public DenseVector getCentroidVectors()
public Prediction<ClusterID> predict(Example<ClusterID> example)
predict does not mutate the example.
IllegalArgumentException if the example has no features
or no feature overlap with the model.
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
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.
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.
protected KMeansModel copy(String newName, ModelProvenance newProvenance)
Used to provide the provenance removal functionality.
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