public class QuantileParametersV3 extends ModelParametersSchemaV3
| Modifier and Type | Field and Description |
|---|---|
QuantileModelCombineMethod |
combineMethod
How to combine quantiles for even sample sizes
|
double[] |
probs
Probabilities for quantiles
|
aucType, categoricalEncoding, checkpoint, customDistributionFunc, customMetricFunc, distribution, exportCheckpointsDir, foldAssignment, foldColumn, gainsliftBins, huberAlpha, ignoreConstCols, ignoredColumns, keepCrossValidationFoldAssignment, keepCrossValidationModels, keepCrossValidationPredictions, maxCategoricalLevels, maxRuntimeSecs, modelId, nfolds, offsetColumn, parallelizeCrossValidation, quantileAlpha, responseColumn, scoreEachIteration, stoppingMetric, stoppingRounds, stoppingTolerance, trainingFrame, tweediePower, validationFrame, weightsColumn| Constructor and Description |
|---|
QuantileParametersV3()
Public constructor
|
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
toString()
Return the contents of this object as a JSON String.
|
public double[] probs
@SerializedName(value="combine_method") public QuantileModelCombineMethod combineMethod
public java.lang.String toString()
toString in class ModelParametersSchemaV3