This virtual class represents a clustering model built by H2O.
This object has slots for the key, which is a character string that points to the model key existing in the H2O cluster, the data used to build the model (an object of class H2OFrame).
character string specifying the key for the model fit in the H2O cluster's key-value store.
character string specifying the algorithm that was used to fit the model.
list containing the parameter settings that were used to fit the model that differ from the defaults.
list containing all parameters used to fit the model.
list containing the characteristics of the model returned by the algorithm.
The number of points in each cluster.
Total sum of squared error to grand mean.
A vector of within-cluster sum of squared error.
Total within-cluster sum of squared error.
Between-cluster sum of squared error.