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).
model_id
A character
string specifying the key for the model fit in the H2O cluster's key-value store.
algorithm
A character
string specifying the algorithm that was used to fit the model.
parameters
A list
containing the parameter settings that were used to fit the model that differ from the defaults.
allparameters
A list
containing all parameters used to fit the model.
model
A 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.