public class NaiveBayesParametersV3 extends ModelParametersSchemaV3
| Modifier and Type | Field and Description |
|---|---|
boolean |
balanceClasses
Balance training data class counts via over/under-sampling (for imbalanced data).
|
float[] |
classSamplingFactors
Desired over/under-sampling ratios per class (in lexicographic order).
|
boolean |
computeMetrics
Compute metrics on training data
|
double |
epsProb
Cutoff below which probability is replaced with min_prob
|
double |
epsSdev
Cutoff below which standard deviation is replaced with min_sdev
|
double |
laplace
Laplace smoothing parameter
|
float |
maxAfterBalanceSize
Maximum relative size of the training data after balancing class counts (can be less than 1.0).
|
int |
maxConfusionMatrixSize
[Deprecated] Maximum size (# classes) for confusion matrices to be printed in the Logs
|
int |
maxHitRatioK
Max.
|
double |
minProb
Min.
|
double |
minSdev
Min.
|
long |
seed
Seed for pseudo random number generator (only used for cross-validation and fold_assignment="Random" or "AUTO")
|
categoricalEncoding, checkpoint, distribution, foldAssignment, foldColumn, huberAlpha, ignoreConstCols, ignoredColumns, keepCrossValidationFoldAssignment, keepCrossValidationPredictions, maxRuntimeSecs, modelId, nfolds, offsetColumn, parallelizeCrossValidation, quantileAlpha, responseColumn, scoreEachIteration, stoppingMetric, stoppingRounds, stoppingTolerance, trainingFrame, tweediePower, validationFrame, weightsColumn| Constructor and Description |
|---|
NaiveBayesParametersV3()
Public constructor
|
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
toString()
Return the contents of this object as a JSON String.
|
public boolean balanceClasses
public float[] classSamplingFactors
public float maxAfterBalanceSize
public int maxConfusionMatrixSize
public int maxHitRatioK
public double laplace
public double minSdev
public double epsSdev
public double minProb
public double epsProb
public boolean computeMetrics
public long seed
public java.lang.String toString()
toString in class ModelParametersSchemaV3