| H2OClusteringModel-class {h2o} | R Documentation | 
The H2OClusteringModel object.
Description
This virtual class represents a clustering model built by H2O.
Details
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).
Slots
- model_id
- A - characterstring specifying the key for the model fit in the H2O cluster's key-value store.
- algorithm
- A - characterstring specifying the algorithm that was used to fit the model.
- parameters
- A - listcontaining the parameter settings that were used to fit the model that differ from the defaults.
- allparameters
- A - listcontaining all parameters used to fit the model.
- model
- A - listcontaining the characteristics of the model returned by the algorithm.- size
- The number of points in each cluster. 
- totss
- Total sum of squared error to grand mean. 
- withinss
- A vector of within-cluster sum of squared error. 
- tot_withinss
- Total within-cluster sum of squared error. 
- betweenss
- Between-cluster sum of squared error.