public class SVDParametersV99 extends ModelParametersSchemaV3
| Modifier and Type | Field and Description |
|---|---|
boolean |
keepU
Save left singular vectors?
|
int |
maxIterations
Maximum iterations
|
int |
nv
Number of right singular vectors
|
long |
seed
RNG seed for k-means++ initialization
|
SVDMethod |
svdMethod
Method for computing SVD (Caution: Power and Randomized are currently experimental and unstable)
|
DataInfoTransformType |
transform
Transformation of training data
|
java.lang.String |
uName
Frame key to save left singular vectors
|
boolean |
useAllFactorLevels
Whether first factor level is included in each categorical expansion
|
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 |
|---|
SVDParametersV99()
Public constructor
|
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
toString()
Return the contents of this object as a JSON String.
|
public DataInfoTransformType transform
public SVDMethod svdMethod
public int nv
public int maxIterations
public long seed
public boolean keepU
public java.lang.String uName
public boolean useAllFactorLevels
public java.lang.String toString()
toString in class ModelParametersSchemaV3