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: Randomized is 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
|
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 |
|---|
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
@SerializedName(value="svd_method") public SVDMethod svdMethod
public int nv
@SerializedName(value="max_iterations") public int maxIterations
public long seed
@SerializedName(value="keep_u") public boolean keepU
@SerializedName(value="u_name") public java.lang.String uName
@SerializedName(value="use_all_factor_levels") public boolean useAllFactorLevels
public java.lang.String toString()
toString in class ModelParametersSchemaV3