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
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.- 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.