public abstract static class ClusteringModel.ClusteringOutput extends Model.Output
Modifier and Type | Field and Description |
---|---|
double[][] |
_centers_raw
Cluster centers_raw.
|
double[][] |
_centers_std_raw |
int[] |
_mode |
double[] |
_normMul |
double[] |
_normSub |
long[] |
_size |
_column_types, _cross_validation_fold_assignment_frame_id, _cross_validation_holdout_predictions_frame_id, _cross_validation_metrics, _cross_validation_metrics_summary, _cross_validation_models, _cross_validation_predictions, _cv_scoring_history, _defaultThreshold, _distribution, _domains, _end_time, _hasFold, _hasOffset, _hasTreatment, _hasWeights, _isSupervised, _job, _model_summary, _modelClassDist, _names, _orig_projection_array, _origDomains, _origNames, _priorClassDist, _reproducibility_information_table, _run_time, _scoring_history, _start_time, _total_run_time, _training_metrics, _validation_metrics
Constructor and Description |
---|
ClusteringOutput() |
ClusteringOutput(ClusteringModelBuilder b)
Any final prep-work just before model-building starts, but after the
user has clicked "go".
|
Modifier and Type | Method and Description |
---|---|
hex.ModelCategory |
getModelCategory() |
boolean |
isSupervised() |
int |
nclasses()
Number of classes in the response column if it is categorical and the model is supervised.
|
changeModelMetricsKey, checksum_impl, classNames, clearModelMetrics, createInputFramesInformationTable, defaultThreshold, features, foldIdx, foldName, getInformationTableNumRows, getModelMetrics, getVariableImportances, hasFold, hasOffset, hasResponse, hasTreatment, hasWeights, interactionBuilder, isAutoencoder, isBinomialClassifier, isClassifier, isMultinomialClassifier, lastSpecialColumnIdx, nfeatures, offsetIdx, offsetName, printTwoDimTables, resetThreshold, responseIdx, responseName, setNames, setNames, startClock, stopClock, toString, treatmentIdx, weightsIdx, weightsName
asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonBytes, toJsonString, write, writeExternal, writeJSON
public double[][] _centers_raw
public double[][] _centers_std_raw
public double[] _normSub
public double[] _normMul
public int[] _mode
public long[] _size
public ClusteringOutput()
public ClusteringOutput(ClusteringModelBuilder b)
public boolean isSupervised()
isSupervised
in class Model.Output
public int nclasses()
Model.Output
nclasses
in class Model.Output
public hex.ModelCategory getModelCategory()
getModelCategory
in class Model.Output